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[SOURCE: https://en.wikipedia.org/wiki/Hydrus] | [TOKENS: 2611] |
Contents Hydrus Hydrus /ˈhaɪdrəs/ is a small constellation in the deep southern sky. It was one of twelve constellations created by Petrus Plancius from the observations of Pieter Dirkszoon Keyser and Frederick de Houtman and it first appeared on a 35-cm (14 in) diameter celestial globe published in late 1597 (or early 1598) in Amsterdam by Plancius and Jodocus Hondius. The first depiction of this constellation in a celestial atlas was in Johann Bayer's Uranometria of 1603. The French explorer and astronomer Nicolas Louis de Lacaille charted the brighter stars and gave their Bayer designations in 1756. Its name means "male water snake", as opposed to Hydra, a much larger constellation that represents a female water snake. It remains below the horizon for most Northern Hemisphere observers. The brightest star is the 2.8-magnitude Beta Hydri, also the closest reasonably bright star to the south celestial pole. Pulsating between magnitude 3.26 and 3.33, Gamma Hydri is a variable red giant 60 times the diameter of the Sun. Lying near it is VW Hydri, one of the brightest dwarf novae in the heavens. Four star systems in Hydrus have been found to have exoplanets to date, including HD 10180, which could bear up to nine planetary companions. History Hydrus was one of the twelve constellations established by the astronomer Petrus Plancius from the observations of the southern sky by the Dutch explorers Pieter Dirkszoon Keyser and Frederick de Houtman, who had sailed on the first Dutch trading expedition, known as the Eerste Schipvaart, to the East Indies. It first appeared on a 35-cm (14 in) diameter celestial globe published in late 1597 (or early 1598) in Amsterdam by Plancius with Jodocus Hondius. The first depiction of this constellation in a celestial atlas was in the German cartographer Johann Bayer's Uranometria of 1603. De Houtman included it in his southern star catalogue the same year under the Dutch name De Waterslang, "The Water Snake", it representing a type of snake encountered on the expedition rather than a mythical creature. The French explorer and astronomer Nicolas Louis de Lacaille called it l’Hydre Mâle on the 1756 version of his planisphere of the southern skies, distinguishing it from the feminine Hydra. The French name was retained by Jean Fortin in 1776 for his Atlas Céleste, while Lacaille Latinised the name to Hydrus for his revised Coelum Australe Stelliferum in 1763. Characteristics Irregular in shape, Hydrus is bordered by Mensa to the southeast, Eridanus to the east, Horologium and Reticulum to the northeast, Phoenix to the north, Tucana to the northwest and west, and Octans to the south; Lacaille had shortened Hydrus' tail to make space for this last constellation he had drawn up. Covering 243 square degrees and 0.589% of the night sky, it ranks 61st of the 88 constellations in size. The three-letter abbreviation for the constellation, as adopted by the International Astronomical Union in 1922, is "Hyi". The official constellation boundaries, as set by Belgian astronomer Eugène Delporte in 1930, are defined by a polygon of 12 segments. In the equatorial coordinate system, the right ascension coordinates of these borders lie between 00h 06.1m and 04h 35.1m , while the declination coordinates are between −57.85° and −82.06°. As one of the deep southern constellations, it remains below the horizon at latitudes north of the 30th parallel in the Northern Hemisphere, and is circumpolar at latitudes south of the 50th parallel in the Southern Hemisphere. Herman Melville mentions it and Argo Navis in Moby Dick "beneath effulgent Antarctic Skies", highlighting his knowledge of the southern constellations from whaling voyages. A line drawn between the long axis of the Southern Cross to Beta Hydri and then extended 4.5 times will mark a point due south. Hydrus culminates at midnight around 26 October. Features Keyzer and de Houtman assigned fifteen stars to the constellation in their Malay and Madagascan vocabulary, with a star that would be later designated as Alpha Hydri marking the head, Gamma the chest and a number of stars that were later allocated to Tucana, Reticulum, Mensa and Horologium marking the body and tail. Lacaille charted and designated 20 stars with the Bayer designations Alpha through to Tau in 1756. Of these, he used the designations Eta, Pi and Tau twice each, for three sets of two stars close together, and omitted Omicron and Xi. He assigned Rho to a star that subsequent astronomers were unable to find. Beta Hydri, the brightest star in Hydrus, is a yellow star of apparent magnitude 2.8, lying 24 light-years from Earth. It has about 104% of the mass of the Sun and 181% of the Sun's radius, with more than three times the Sun's luminosity. The spectrum of this star matches a stellar classification of G2 IV, with the luminosity class of 'IV' indicating this is a subgiant star. As such, it is a slightly more evolved star than the Sun, with the supply of hydrogen fuel at its core becoming exhausted. It is the nearest subgiant star to the Sun and one of the oldest stars in the solar neighbourhood. Thought to be between 6.4 and 7.1 billion years old, this star bears some resemblance to what the Sun may look like in the far distant future, making it an object of interest to astronomers. It is also the closest bright star to the south celestial pole. Located at the northern edge of the constellation and just southwest of Achernar is Alpha Hydri, a white sub-giant star of magnitude 2.9, situated 72 light-years from Earth. Of spectral type F0IV, it is beginning to cool and enlarge as it uses up its supply of hydrogen. It is twice as massive and 3.3 times as wide as the Sun and 26 times more luminous. A line drawn between Alpha Hydri and Beta Centauri is bisected by the south celestial pole. In the southeastern corner of the constellation is Gamma Hydri, a red giant of spectral type M2III located 214 light-years from Earth. It is a semi-regular variable star, pulsating between magnitudes 3.26 and 3.33. Observations over five years were not able to establish its periodicity. It is around 1.5 to 2 times as massive as the Sun, and has expanded to about 60 times the Sun's diameter. It shines with about 655 times the luminosity of the Sun. Located 3° northeast of Gamma is the VW Hydri, a dwarf nova of the SU Ursae Majoris type. It is a close binary system that consists of a white dwarf and another star, the former drawing off matter from the latter into a bright accretion disk. These systems are characterised by frequent eruptions and less frequent supereruptions. The former are smooth, while the latter exhibit short "superhumps" of heightened activity. One of the brightest dwarf novae in the sky, it has a baseline magnitude of 14.4 and can brighten to magnitude 8.4 during peak activity. BL Hydri is another close binary system composed of a low-mass star and a strongly magnetic white dwarf. Known as a polar or AM Herculis variable, these produce polarized optical and infrared emissions and intense soft and hard X-ray emissions to the frequency of the white dwarf's rotation period—in this case 113.6 minutes. There are two notable optical double stars in Hydrus. Pi Hydri, composed of Pi1 Hydri and Pi2 Hydri, is divisible in binoculars. Around 476 light-years distant, Pi1 is a red giant of spectral type M1III that varies between magnitudes 5.52 and 5.58. Pi2 is an orange giant of spectral type K2III and shining with a magnitude of 5.7, around 488 light-years from Earth. Eta Hydri is the other optical double, composed of Eta1 and Eta2. Eta1 is a blue-white main sequence star of spectral type B9V that was suspected of being variable, and is located just over 700 light-years away. Eta2 has a magnitude of 4.7 and is a yellow giant star of spectral type G8.5III around 218 light-years distant, which has evolved off the main sequence and is expanding and cooling on its way to becoming a red giant. Calculations of its mass indicate it was most likely a white A-type main sequence star for most of its existence, around twice the mass of the Sun. A planet, Eta2 Hydri b, greater than 6.5 times the mass of Jupiter was discovered in 2005, orbiting around Eta2 every 711 days at a distance of 1.93 astronomical units (AU). Three other systems have been found to have planets, most notably the Sun-like star HD 10180, which has seven planets, plus possibly an additional two for a total of nine—as of 2012 more than any other system to date, including the Solar System. Lying around 127 light-years (39 parsecs) from the Earth, it has an apparent magnitude of 7.33. GJ 3021 is a solar twin—a star very like the Sun—around 57 light-years distant with a spectral type G8V and magnitude of 6.7. It has a Jovian planet companion (GJ 3021 b). Orbiting about 0.5 AU from its star, it has a minimum mass 3.37 times that of Jupiter and a period of around 133 days. The system is a complex one as the faint star GJ 3021B orbits at a distance of 68 AU; it is a red dwarf of spectral type M4V. HD 20003 is a star of magnitude 8.37. It is a yellow main sequence star of spectral type G8V a little cooler and smaller than the Sun around 143 light-years away. It has two planets that are around 12 and 13.5 times as massive as the Earth with periods of just under 12 and 34 days respectively. Hydrus contains only faint deep-sky objects. IC 1717 was a deep-sky object discovered by the Danish astronomer John Louis Emil Dreyer in the late 19th century. The object at the coordinate Dreyer observed is no longer there, and is now a mystery. It was very likely to have been a faint comet. PGC 6240, known as the White Rose Galaxy, is a giant spiral galaxy surrounded by shells resembling rose petals, located around 345 million light years from the Solar System. Unusually, it has cohorts of globular clusters of three distinct ages suggesting bouts of post-starburst formation following a merger with another galaxy. The constellation also contains a spiral galaxy, NGC 1511, which lies edge on to observers on Earth and is readily viewed in amateur telescopes. Located mostly in Dorado, the Large Magellanic Cloud extends into Hydrus. The globular cluster NGC 1466 is an outlying component of the galaxy, and contains many RR Lyrae-type variable stars. It has a magnitude of 11.59 and is thought to be over 12 billion years old. Two stars, HD 24188 of magnitude 6.3 and HD 24115 of magnitude 9.0, lie nearby in its foreground. NGC 602 is composed of an emission nebula and a young, bright open cluster of stars that is an outlying component on the eastern edge of the Small Magellanic Cloud, a satellite galaxy to the Milky Way. Most of the cloud is located in the neighbouring constellation Tucana. See also References External links |
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[SOURCE: https://en.wikipedia.org/wiki/Livias] | [TOKENS: 944] |
Contents Livias Livias was a city in Transjordan in Classical Antiquity. In the writings of Josephus (English translation), the name is presented as Julias. Numerous authors have presented a chain of evidence connecting Beth-Haram from the Book of Joshua (Josh. 13:27), considered to be the same as Bethharan from Numbers (Num. 32:36), with Talmudic Beit Ramata (Hebrew: בית רמתה) and Roman-period Betharamtha (Βηθαραμθα)[dubious – discuss] or Betharamphtha. Location The traditional location of the Roman city is at Tell er-Rameh, a small hill rising in the plain beyond Jordan, about twelve miles from Jericho. In 2011 Graves and Stripling proposed that, while Tell er-Rameh was the commercial and residential center of Livias, the area around Tell el-Hammam, which grew in the Early Roman period, was the administrative epicenter of the city. This suggestion is based on the evidence from Tell el-Hammam excavations: a large Roman bath complex (thermae, 35x50m), several hot springs, aqueduct, Roman coins, Roman glass, Roman pottery, and a Byzantine church mosaic nearby. Archaeological evidence from Shuneh el-Janubiyyeh has shown the existence of a church in the diocese, dating from the sixth-eighth centuries. A third Byzantine church was discovered between Tall Kafrayn and Tell el-Hammam (2.6 km or 1.6 mi west of the latter), with a large mosaic floor, now being used as a Muslim cemetery. Josephus (AD 37–c. 100) and others describe Livias as a city (πόλις polis) of Perea, and specifically differentiate it from a small town (πόλίχνη polichnē) or from its surrounding fourteen villages (κώμας kōmas). A directional reference is the fifth milestone north of Livias located at Bethnambris (Bethnamaris; Bethnamran) or Tall Nimrin (TMP 749034E, 3532378N). According to Eusebius' Onomasticon, Livias is five Roman miles (7.5 km/ 4.7 m) south of Tall Nimrin[dubious – discuss]. These directional references, together with a statement provided by Theodosius that "the city of Livias is across the Jordan, twelve [Roman] miles [17.75 km/ 11 m] from Jericho" (Wilkinson) to the east, provide east/west and north–south co-ordinates that when triangulated place Livias at Tall el-Hammam. History The city of Betharan is twice mentioned in the Bible (Numbers 32:36; Joshua 13:27). At about 80 BC, Hasmonean king Alexander Jannaeus captured a city later called by his son "Libias" from the Nabataeans; it was then called Betharamphtha (Hebrew: בית רמתה). According Josephus, in the 1st century AD, Herod Antipas, Tetrarch of Galilee and Perea, fortified the city of "Betharamphtha" with strong walls and called it Julias after the wife of Augustus, whose birth name was Livia Drusilla, but who became known as Julia Augusta after adoption. Nero gave it with its fourteen villages to Agrippa II. In the First Jewish-Roman War the Roman general Placidus captured it in 68, and the town was used to resettle deserters who had joined the Roman ranks. After the revolt was quelled, the area was returned to Agrippa. He died without heir, and his territories were annexed to Judaea province. In later reorganizations of Roman provinces, it was included in Syria Palaestina (135), Palaestina (286) and Palaestina Prima (425), never gaining a colonia status. In the time of Eusebius and St. Jerome the natives still called it Bethramtha. Livias was an episcopal see, a suffragan of the diocese Caesarea in Palaestina. Le Quien mentions three bishops: No longer a residential bishopric, Livias is today listed by the Catholic Church as a titular see. References Bibliography External links |
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[SOURCE: https://en.wikipedia.org/wiki/Python_(programming_language)#cite_ref-PEP20_69-0] | [TOKENS: 4314] |
Contents Python (programming language) Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language. Python 3.0, released in 2008, was a major revision and not completely backward-compatible with earlier versions. Beginning with Python 3.5, capabilities and keywords for typing were added to the language, allowing optional static typing. As of 2026[update], the Python Software Foundation supports Python 3.10, 3.11, 3.12, 3.13, and 3.14, following the project's annual release cycle and five-year support policy. Python 3.15 is currently in the alpha development phase, and the stable release is expected to come out in October 2026. Earlier versions in the 3.x series have reached end-of-life and no longer receive security updates. Python has gained widespread use in the machine learning community. It is widely taught as an introductory programming language. Since 2003, Python has consistently ranked in the top ten of the most popular programming languages in the TIOBE Programming Community Index, which ranks based on searches in 24 platforms. History Python was conceived in the late 1980s by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands. It was designed as a successor to the ABC programming language, which was inspired by SETL, capable of exception handling and interfacing with the Amoeba operating system. Python implementation began in December 1989. Van Rossum first released it in 1991 as Python 0.9.0. Van Rossum assumed sole responsibility for the project, as the lead developer, until 12 July 2018, when he announced his "permanent vacation" from responsibilities as Python's "benevolent dictator for life" (BDFL); this title was bestowed on him by the Python community to reflect his long-term commitment as the project's chief decision-maker. (He has since come out of retirement and is self-titled "BDFL-emeritus".) In January 2019, active Python core developers elected a five-member Steering Council to lead the project. The name Python derives from the British comedy series Monty Python's Flying Circus. (See § Naming.) Python 2.0 was released on 16 October 2000, featuring many new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support. Python 2.7's end-of-life was initially set for 2015, and then postponed to 2020 out of concern that a large body of existing code could not easily be forward-ported to Python 3. It no longer receives security patches or updates. While Python 2.7 and older versions are officially unsupported, a different unofficial Python implementation, PyPy, continues to support Python 2, i.e., "2.7.18+" (plus 3.11), with the plus signifying (at least some) "backported security updates". Python 3.0 was released on 3 December 2008, and was a major revision and not completely backward-compatible with earlier versions, with some new semantics and changed syntax. Python 2.7.18, released in 2020, was the last release of Python 2. Several releases in the Python 3.x series have added new syntax to the language, and made a few (considered very minor) backward-incompatible changes. As of January 2026[update], Python 3.14.3 is the latest stable release. All older 3.x versions had a security update down to Python 3.9.24 then again with 3.9.25, the final version in 3.9 series. Python 3.10 is, since November 2025, the oldest supported branch. Python 3.15 has an alpha released, and Android has an official downloadable executable available for Python 3.14. Releases receive two years of full support followed by three years of security support. Design philosophy and features Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming – including metaprogramming and metaobjects. Many other paradigms are supported via extensions, including design by contract and logic programming. Python is often referred to as a 'glue language' because it is purposely designed to be able to integrate components written in other languages. Python uses dynamic typing and a combination of reference counting and a cycle-detecting garbage collector for memory management. It uses dynamic name resolution (late binding), which binds method and variable names during program execution. Python's design offers some support for functional programming in the "Lisp tradition". It has filter, map, and reduce functions; list comprehensions, dictionaries, sets, and generator expressions. The standard library has two modules (itertools and functools) that implement functional tools borrowed from Haskell and Standard ML. Python's core philosophy is summarized in the Zen of Python (PEP 20) written by Tim Peters, which includes aphorisms such as these: However, Python has received criticism for violating these principles and adding unnecessary language bloat. Responses to these criticisms note that the Zen of Python is a guideline rather than a rule. The addition of some new features had been controversial: Guido van Rossum resigned as Benevolent Dictator for Life after conflict about adding the assignment expression operator in Python 3.8. Nevertheless, rather than building all functionality into its core, Python was designed to be highly extensible via modules. This compact modularity has made it particularly popular as a means of adding programmable interfaces to existing applications. Van Rossum's vision of a small core language with a large standard library and easily extensible interpreter stemmed from his frustrations with ABC, which represented the opposite approach. Python claims to strive for a simpler, less-cluttered syntax and grammar, while giving developers a choice in their coding methodology. Python lacks do .. while loops, which Rossum considered harmful. In contrast to Perl's motto "there is more than one way to do it", Python advocates an approach where "there should be one – and preferably only one – obvious way to do it". In practice, however, Python provides many ways to achieve a given goal. There are at least three ways to format a string literal, with no certainty as to which one a programmer should use. Alex Martelli is a Fellow at the Python Software Foundation and Python book author; he wrote that "To describe something as 'clever' is not considered a compliment in the Python culture." Python's developers typically prioritize readability over performance. For example, they reject patches to non-critical parts of the CPython reference implementation that would offer increases in speed that do not justify the cost of clarity and readability.[failed verification] Execution speed can be improved by moving speed-critical functions to extension modules written in languages such as C, or by using a just-in-time compiler like PyPy. Also, it is possible to transpile to other languages. However, this approach either fails to achieve the expected speed-up, since Python is a very dynamic language, or only a restricted subset of Python is compiled (with potential minor semantic changes). Python is meant to be a fun language to use. This goal is reflected in the name – a tribute to the British comedy group Monty Python – and in playful approaches to some tutorials and reference materials. For instance, some code examples use the terms "spam" and "eggs" (in reference to a Monty Python sketch), rather than the typical terms "foo" and "bar". A common neologism in the Python community is pythonic, which has a broad range of meanings related to program style: Pythonic code may use Python idioms well; be natural or show fluency in the language; or conform with Python's minimalist philosophy and emphasis on readability. Syntax and semantics Python is meant to be an easily readable language. Its formatting is visually uncluttered and often uses English keywords where other languages use punctuation. Unlike many other languages, it does not use curly brackets to delimit blocks, and semicolons after statements are allowed but rarely used. It has fewer syntactic exceptions and special cases than C or Pascal. Python uses whitespace indentation, rather than curly brackets or keywords, to delimit blocks. An increase in indentation comes after certain statements; a decrease in indentation signifies the end of the current block. Thus, the program's visual structure accurately represents its semantic structure. This feature is sometimes termed the off-side rule. Some other languages use indentation this way; but in most, indentation has no semantic meaning. The recommended indent size is four spaces. Python's statements include the following: The assignment statement (=) binds a name as a reference to a separate, dynamically allocated object. Variables may subsequently be rebound at any time to any object. In Python, a variable name is a generic reference holder without a fixed data type; however, it always refers to some object with a type. This is called dynamic typing—in contrast to statically-typed languages, where each variable may contain only a value of a certain type. Python does not support tail call optimization or first-class continuations; according to Van Rossum, the language never will. However, better support for coroutine-like functionality is provided by extending Python's generators. Before 2.5, generators were lazy iterators; data was passed unidirectionally out of the generator. From Python 2.5 on, it is possible to pass data back into a generator function; and from version 3.3, data can be passed through multiple stack levels. Python's expressions include the following: In Python, a distinction between expressions and statements is rigidly enforced, in contrast to languages such as Common Lisp, Scheme, or Ruby. This distinction leads to duplicating some functionality, for example: A statement cannot be part of an expression; because of this restriction, expressions such as list and dict comprehensions (and lambda expressions) cannot contain statements. As a particular case, an assignment statement such as a = 1 cannot be part of the conditional expression of a conditional statement. Python uses duck typing, and it has typed objects but untyped variable names. Type constraints are not checked at definition time; rather, operations on an object may fail at usage time, indicating that the object is not of an appropriate type. Despite being dynamically typed, Python is strongly typed, forbidding operations that are poorly defined (e.g., adding a number and a string) rather than quietly attempting to interpret them. Python allows programmers to define their own types using classes, most often for object-oriented programming. New instances of classes are constructed by calling the class, for example, SpamClass() or EggsClass()); the classes are instances of the metaclass type (which is an instance of itself), thereby allowing metaprogramming and reflection. Before version 3.0, Python had two kinds of classes, both using the same syntax: old-style and new-style. Current Python versions support the semantics of only the new style. Python supports optional type annotations. These annotations are not enforced by the language, but may be used by external tools such as mypy to catch errors. Python includes a module typing including several type names for type annotations. Also, mypy supports a Python compiler called mypyc, which leverages type annotations for optimization. 1.33333 frozenset() Python includes conventional symbols for arithmetic operators (+, -, *, /), the floor-division operator //, and the modulo operator %. (With the modulo operator, a remainder can be negative, e.g., 4 % -3 == -2.) Also, Python offers the ** symbol for exponentiation, e.g. 5**3 == 125 and 9**0.5 == 3.0. Also, it offers the matrix‑multiplication operator @ . These operators work as in traditional mathematics; with the same precedence rules, the infix operators + and - can also be unary, to represent positive and negative numbers respectively. Division between integers produces floating-point results. The behavior of division has changed significantly over time: In Python terms, the / operator represents true division (or simply division), while the // operator represents floor division. Before version 3.0, the / operator represents classic division. Rounding towards negative infinity, though a different method than in most languages, adds consistency to Python. For instance, this rounding implies that the equation (a + b)//b == a//b + 1 is always true. Also, the rounding implies that the equation b*(a//b) + a%b == a is valid for both positive and negative values of a. As expected, the result of a%b lies in the half-open interval [0, b), where b is a positive integer; however, maintaining the validity of the equation requires that the result must lie in the interval (b, 0] when b is negative. Python provides a round function for rounding a float to the nearest integer. For tie-breaking, Python 3 uses the round to even method: round(1.5) and round(2.5) both produce 2. Python versions before 3 used the round-away-from-zero method: round(0.5) is 1.0, and round(-0.5) is −1.0. Python allows Boolean expressions that contain multiple equality relations to be consistent with general usage in mathematics. For example, the expression a < b < c tests whether a is less than b and b is less than c. C-derived languages interpret this expression differently: in C, the expression would first evaluate a < b, resulting in 0 or 1, and that result would then be compared with c. Python uses arbitrary-precision arithmetic for all integer operations. The Decimal type/class in the decimal module provides decimal floating-point numbers to a pre-defined arbitrary precision with several rounding modes. The Fraction class in the fractions module provides arbitrary precision for rational numbers. Due to Python's extensive mathematics library and the third-party library NumPy, the language is frequently used for scientific scripting in tasks such as numerical data processing and manipulation. Functions are created in Python by using the def keyword. A function is defined similarly to how it is called, by first providing the function name and then the required parameters. Here is an example of a function that prints its inputs: To assign a default value to a function parameter in case no actual value is provided at run time, variable-definition syntax can be used inside the function header. Code examples "Hello, World!" program: Program to calculate the factorial of a non-negative integer: Libraries Python's large standard library is commonly cited as one of its greatest strengths. For Internet-facing applications, many standard formats and protocols such as MIME and HTTP are supported. The language includes modules for creating graphical user interfaces, connecting to relational databases, generating pseudorandom numbers, arithmetic with arbitrary-precision decimals, manipulating regular expressions, and unit testing. Some parts of the standard library are covered by specifications—for example, the Web Server Gateway Interface (WSGI) implementation wsgiref follows PEP 333—but most parts are specified by their code, internal documentation, and test suites. However, because most of the standard library is cross-platform Python code, only a few modules must be altered or rewritten for variant implementations. As of 13 March 2025,[update] the Python Package Index (PyPI), the official repository for third-party Python software, contains over 614,339 packages. Development environments Most[which?] Python implementations (including CPython) include a read–eval–print loop (REPL); this permits the environment to function as a command line interpreter, with which users enter statements sequentially and receive results immediately. Also, CPython is bundled with an integrated development environment (IDE) called IDLE, which is oriented toward beginners.[citation needed] Other shells, including IDLE and IPython, add additional capabilities such as improved auto-completion, session-state retention, and syntax highlighting. Standard desktop IDEs include PyCharm, Spyder, and Visual Studio Code; there are web browser-based IDEs, such as the following environments: Implementations CPython is the reference implementation of Python. This implementation is written in C, meeting the C11 standard since version 3.11. Older versions use the C89 standard with several select C99 features, but third-party extensions are not limited to older C versions—e.g., they can be implemented using C11 or C++. CPython compiles Python programs into an intermediate bytecode, which is then executed by a virtual machine. CPython is distributed with a large standard library written in a combination of C and native Python. CPython is available for many platforms, including Windows and most modern Unix-like systems, including macOS (and Apple M1 Macs, since Python 3.9.1, using an experimental installer). Starting with Python 3.9, the Python installer intentionally fails to install on Windows 7 and 8; Windows XP was supported until Python 3.5, with unofficial support for VMS. Platform portability was one of Python's earliest priorities. During development of Python 1 and 2, even OS/2 and Solaris were supported; since that time, support has been dropped for many platforms. All current Python versions (since 3.7) support only operating systems that feature multithreading, by now supporting not nearly as many operating systems (dropping many outdated) than in the past. All alternative implementations have at least slightly different semantics. For example, an alternative may include unordered dictionaries, in contrast to other current Python versions. As another example in the larger Python ecosystem, PyPy does not support the full C Python API. Creating an executable with Python often is done by bundling an entire Python interpreter into the executable, which causes binary sizes to be massive for small programs, yet there exist implementations that are capable of truly compiling Python. Alternative implementations include the following: Stackless Python is a significant fork of CPython that implements microthreads. This implementation uses the call stack differently, thus allowing massively concurrent programs. PyPy also offers a stackless version. Just-in-time Python compilers have been developed, but are now unsupported: There are several compilers/transpilers to high-level object languages; the source language is unrestricted Python, a subset of Python, or a language similar to Python: There are also specialized compilers: Some older projects existed, as well as compilers not designed for use with Python 3.x and related syntax: A performance comparison among various Python implementations, using a non-numerical (combinatorial) workload, was presented at EuroSciPy '13. In addition, Python's performance relative to other programming languages is benchmarked by The Computer Language Benchmarks Game. There are several approaches to optimizing Python performance, despite the inherent slowness of an interpreted language. These approaches include the following strategies or tools: Language Development Python's development is conducted mostly through the Python Enhancement Proposal (PEP) process; this process is the primary mechanism for proposing major new features, collecting community input on issues, and documenting Python design decisions. Python coding style is covered in PEP 8. Outstanding PEPs are reviewed and commented on by the Python community and the steering council. Enhancement of the language corresponds with development of the CPython reference implementation. The mailing list python-dev is the primary forum for the language's development. Specific issues were originally discussed in the Roundup bug tracker hosted by the foundation. In 2022, all issues and discussions were migrated to GitHub. Development originally took place on a self-hosted source-code repository running Mercurial, until Python moved to GitHub in January 2017. CPython's public releases have three types, distinguished by which part of the version number is incremented: Many alpha, beta, and release-candidates are also released as previews and for testing before final releases. Although there is a rough schedule for releases, they are often delayed if the code is not ready yet. Python's development team monitors the state of the code by running a large unit test suite during development. The major academic conference on Python is PyCon. Also, there are special Python mentoring programs, such as PyLadies. Naming Python's name is inspired by the British comedy group Monty Python, whom Python creator Guido van Rossum enjoyed while developing the language. Monty Python references appear frequently in Python code and culture; for example, the metasyntactic variables often used in Python literature are spam and eggs, rather than the traditional foo and bar. Also, the official Python documentation contains various references to Monty Python routines. Python users are sometimes referred to as "Pythonistas". Languages influenced by Python See also Notes References Further reading External links |
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[SOURCE: https://en.wikipedia.org/wiki/Whistlejacket] | [TOKENS: 2010] |
Contents Whistlejacket Whistlejacket is an oil-on-canvas painting from about 1762 by the British artist George Stubbs showing the Marquess of Rockingham's racehorse approximately at life-size, rearing up against a plain background. The canvas is large, lacking any other content except some discreet shadows, and Stubbs has paid precise attention to the details of the horse's appearance. It has been described in The Independent as "a paradigm of the flawless beauty of an Arabian thoroughbred". The Fitzwilliam family, heirs of the childless Rockingham, retained the painting until 1997 when funding from the Heritage Lottery Fund allowed the National Gallery, London to acquire it for £11 million. Stubbs was a specialist equine artist who in 1762 was invited by Rockingham to spend "some months" at Wentworth Woodhouse in Yorkshire, his main country house. Stubbs had painted many horse portraits, with and without human figures, but the heroic scale and lack of background of Whistlejacket are "unprecedented" in his work and equine portraits in general and "contemporaries were so astonished that a single horse should command a huge canvas that legends quickly developed" explaining why the painting was unfinished, none of which seem plausible or supported by the evidence to modern art historians. In fact Stubbs's earliest canvases on his visit in 1762 included a pair of much smaller paintings of groups of standing horses, one including Whistlejacket, in a horizontal format "like a classical frieze" with a similar honey beige background broken only by small shadows at the feet. It would seem likely that leaving the portraits without the usual landscape background was Rockingham's idea. Stubbs depicts Whistlejacket rising to a levade, but with his head turned towards the viewer, in a pose comparable to a number of earlier monumental equestrian portraits, including examples by Rubens and Velázquez, but in these the emphasis is on the rider. Here the horse is alone and in a natural state, producing a "romantic study in solitude and liberty". Like many of Stubbs's other paintings of horses and other animals in the wild, including several versions of a horse attacked by a lion perched on its back, the painting is an early intimation of Romanticism, as well as a challenge to the lowly place animal painting occupied in the hierarchy of genres. To a greater degree than any earlier painter, Stubbs produced genuinely individual portraits of specific horses, paying intimate attention to details of their form. Minute blemishes, veins, and the muscles flexing just below the surface of the skin are all visible and reproduced with great care and realism. Whistlejacket had already retired after a fairly successful racing career, but was painted in this unusual form to show "a supremely beautiful specimen of the pure-bred Arabian horse at its finest". Painting history Stubbs's knowledge of equine physiology was unsurpassed by any painter; he had studied anatomy at York and, from 1756, he spent 18 months in Lincolnshire where he carried out dissections and experiments on dead horses to better understand the animal's physiology. He suspended the cadavers with block and tackle to better able sketch them in different positions. The careful notes and drawings he made during his studies were published in 1766 in The Anatomy of the Horse. Even before the publication of his book, Stubbs's dedication to his subject reaped him rewards: his drawings were recognized as more accurate than the work of other equine artists and commissions from aristocratic patrons quickly followed. Charles Watson-Wentworth, 2nd Marquess of Rockingham was a Whig politician, later to be twice Prime Minister, and exceptionally rich even by the standards of that wealthy group. In 1762 he commissioned Stubbs to produce a series of portraits of his horses, one of which was Whistlejacket. He was also a collector of art, commissioning several works in Italy on his Grand Tour in the late 1740s, but his great leisure interests were, typically for his class, horseracing and gambling. His wife wrote of her hopes that he would restrict himself to gambling "just upon the turf, for there is always a possibility of some sort of pleasure in that; but not the smallest in other sorts". Wentworth House, as it was then known, had been "rebuilt by his father on a huge scale" and empty walls needed filling. Horace Walpole, on the visit in 1766 mentioned below, complained of the un-landscaped park "This lord loves nothing but horses, and the enclosures for them take place of everything". The Wentworth archives, "though unusually comprehensive, contain no clear reference to the commission to paint Whistlejacket", though some indication of the likely price comes from a receipt by Stubbs dated 30 December 1762 for "Eighty Guineas for one Picture of a Lion and another of a Horse Large as Life", probably a different picture for Rockingham's London house. Earlier in 1762, Stubbs had painted a second portrait of Whistlejacket, with two other unnamed stallions and a groom, Joshua or Simon Cobb. According to a story in the biography of Stubbs by his friend and fellow-painter Ozias Humphrey, when the portrait was nearly finished Whistlejacket was accidentally led in front of it by a stable boy and reacted violently, treating it as a rival stallion, and lifting the boy holding him fully off the ground in his attempts to attack the painting. The story probably originated with Stubbs himself, but is probably too good to be true; it clearly recalls Pliny the Elder's famous story of Zeuxis and Parrhasius. When Wentworth was remodelled under a later Earl Fitzwilliam, a 40-foot square "Whistlejacket Room" was created to showcase the painting, with only single family portraits by Sir Joshua Reynolds and Sir Thomas Lawrence to keep it company. Wentworth Woodhouse ceased to be occupied by the family after World War II, and the painting was loaned to Kenwood House in London from 1971 to 1981, the Tate Gallery 1984–85, and the National Gallery from 1996 before its purchase the next year. It is now displayed in the centre of room 34, and is framed by doorways at the end of a long enfilade so that it can be seen through ten intervening rooms from the Sainsbury Wing, at the other end of the gallery. It is consistently among the top ten most popular National Gallery paintings in various forms of reproduction. The painting is in "very good condition" and was "lined, cleaned and restored a few years before its acquisition." One story was that Rockingham had intended to commission an equestrian portrait of George III; Stubbs would paint the horse while two other notable portrait and landscape painters would fill in the king and the landscape respectively. In one account, The painting was supposedly intended to accompany a similarly sized equestrian portrait of George II by David Morier, but Rockingham then changed his mind. According to Horace Walpole, on a visit to Wentworth where he was probably shown round by the housekeeper, the painting was intended as a gift for the King, but Rockingham supposedly had not bothered to support progress of the painting after falling out of favour, and ordered it hung at Wentworth Woodhouse uncompleted instead. Another reason popularly given for it being "unfinished" is that Rockingham was so impressed by Whistlejacket's furious reaction when confronted by Stubbs working on the painting in his stable, that he ordered it hung without further decoration. Stubbs produced other paintings of horses against blank backgrounds for Rockingham, nothing in the painting indicates that it is not complete, and the detail of the shadows cast by Whistlejacket's rear legs on the ground suggest that this is how Stubbs intended the picture to be seen. Horse history Whistlejacket was a chestnut stallion, with flaxen-coloured mane and tail, believed to be the original colouring of the wild Arabian breed. He was a Thoroughbred race horse foaled in 1749 at the stud of Sir William Middleton, 3rd Baronet at Belsay Castle in Northumberland, and named after a contemporary cold remedy containing gin and treacle[citation needed]. His sire was Mogul and grandsire was the Godolphin Arabian; through his dam, he was also descended from the Byerly Turk, and various other Arabians and Turks. He raced from 1752, winning many races in the North. He lost to Jason in the King's Plate at Newmarket in 1755, but won the following year, when he was also narrowly beaten by Spectator for the Jockey Club Plate at Newmarket in 1756. He was sold soon after to the Marquess of Rockingham. He famously won a four-mile race at York in August 1759 against a strong field, beating Brutus by a length, and then retired to stud, being ten years old. He was beaten only four times in his racing career, but was notoriously temperamental and difficult to manage. He was "averagely successful at stud", and must have died before Rockingham's death in 1782, as he is not listed in records of the subsequent sale of the stud; he would have been in his thirties if alive. He was not nearly as famous a horse as his sire and grand-sire, but is mentioned in Act IV of Oliver Goldsmith's classic comic play She Stoops to Conquer (1773) when an elopement is planned: "I have got you a pair of horses that will fly like Whistlejacket". Notes References Further reading |
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[SOURCE: https://en.wikipedia.org/w/index.php?title=PlayStation_(console)&action=edit§ion=21] | [TOKENS: 1432] |
Editing PlayStation (console) (section) Copy and paste: – — ° ′ ″ ≈ ≠ ≤ ≥ ± − × ÷ ← → · § Cite your sources: <ref></ref> {{}} {{{}}} | [] [[]] [[Category:]] #REDIRECT [[]] <s></s> <sup></sup> <sub></sub> <code></code> <pre></pre> <blockquote></blockquote> <ref></ref> <ref name="" /> {{Reflist}} <references /> <includeonly></includeonly> <noinclude></noinclude> {{DEFAULTSORT:}} <nowiki></nowiki> <!-- --> <span class="plainlinks"></span> Symbols: ~ | ¡ ¿ † ‡ ↔ ↑ ↓ • ¶ # ∞ ‹› «» ¤ ₳ ฿ ₵ ¢ ₡ ₢ $ ₫ ₯ € ₠ ₣ ƒ ₴ ₭ ₤ ℳ ₥ ₦ ₧ ₰ £ ៛ ₨ ₪ ৳ ₮ ₩ ¥ ♠ ♣ ♥ ♦ 𝄫 ♭ ♮ ♯ 𝄪 © ¼ ½ ¾ Latin: A a Á á À à  â Ä ä Ǎ ǎ Ă ă Ā ā à ã Å å Ą ą Æ æ Ǣ ǣ B b C c Ć ć Ċ ċ Ĉ ĉ Č č Ç ç D d Ď ď Đ đ Ḍ ḍ Ð ð E e É é È è Ė ė Ê ê Ë ë Ě ě Ĕ ĕ Ē ē Ẽ ẽ Ę ę Ẹ ẹ Ɛ ɛ Ǝ ǝ Ə ə F f G g Ġ ġ Ĝ ĝ Ğ ğ Ģ ģ H h Ĥ ĥ Ħ ħ Ḥ ḥ I i İ ı Í í Ì ì Î î Ï ï Ǐ ǐ Ĭ ĭ Ī ī Ĩ ĩ Į į Ị ị J j Ĵ ĵ K k Ķ ķ L l Ĺ ĺ Ŀ ŀ Ľ ľ Ļ ļ Ł ł Ḷ ḷ Ḹ ḹ M m Ṃ ṃ N n Ń ń Ň ň Ñ ñ Ņ ņ Ṇ ṇ Ŋ ŋ O o Ó ó Ò ò Ô ô Ö ö Ǒ ǒ Ŏ ŏ Ō ō Õ õ Ǫ ǫ Ọ ọ Ő ő Ø ø Œ œ Ɔ ɔ P p Q q R r Ŕ ŕ Ř ř Ŗ ŗ Ṛ ṛ Ṝ ṝ S s Ś ś Ŝ ŝ Š š Ş ş Ș ș Ṣ ṣ ß T t Ť ť Ţ ţ Ț ț Ṭ ṭ Þ þ U u Ú ú Ù ù Û û Ü ü Ǔ ǔ Ŭ ŭ Ū ū Ũ ũ Ů ů Ų ų Ụ ụ Ű ű Ǘ ǘ Ǜ ǜ Ǚ ǚ Ǖ ǖ V v W w Ŵ ŵ X x Y y Ý ý Ŷ ŷ Ÿ ÿ Ỹ ỹ Ȳ ȳ Z z Ź ź Ż ż Ž ž ß Ð ð Þ þ Ŋ ŋ Ə ə Greek: Ά ά Έ έ Ή ή Ί ί Ό ό Ύ ύ Ώ ώ Α α Β β Γ γ Δ δ Ε ε Ζ ζ Η η Θ θ Ι ι Κ κ Λ λ Μ μ Ν ν Ξ ξ Ο ο Π π Ρ ρ Σ σ ς Τ τ Υ υ Φ φ Χ χ Ψ ψ Ω ω {{Polytonic|}} Cyrillic: А а Б б В в Г г Ґ ґ Ѓ ѓ Д д Ђ ђ Е е Ё ё Є є Ж ж З з Ѕ ѕ И и І і Ї ї Й й Ј ј К к Ќ ќ Л л Љ љ М м Н н Њ њ О о П п Р р С с Т т Ћ ћ У у Ў ў Ф ф Х х Ц ц Ч ч Џ џ Ш ш Щ щ Ъ ъ Ы ы Ь ь Э э Ю ю Я я ́ IPA: t̪ d̪ ʈ ɖ ɟ ɡ ɢ ʡ ʔ ɸ β θ ð ʃ ʒ ɕ ʑ ʂ ʐ ç ʝ ɣ χ ʁ ħ ʕ ʜ ʢ ɦ ɱ ɳ ɲ ŋ ɴ ʋ ɹ ɻ ɰ ʙ ⱱ ʀ ɾ ɽ ɫ ɬ ɮ ɺ ɭ ʎ ʟ ɥ ʍ ɧ ʼ ɓ ɗ ʄ ɠ ʛ ʘ ǀ ǃ ǂ ǁ ɨ ʉ ɯ ɪ ʏ ʊ ø ɘ ɵ ɤ ə ɚ ɛ œ ɜ ɝ ɞ ʌ ɔ æ ɐ ɶ ɑ ɒ ʰ ʱ ʷ ʲ ˠ ˤ ⁿ ˡ ˈ ˌ ː ˑ ̪ {{IPA|}} This page is a member of 10 hidden categories (help): |
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[SOURCE: https://en.wikipedia.org/wiki/Category:Wikipedia_articles_needing_page_number_citations_from_June_2015] | [TOKENS: 102] |
Category:Wikipedia articles needing page number citations from June 2015 This category combines all Wikipedia articles needing page number citations from June 2015 (2015-06) to enable us to work through the backlog more systematically. It is a member of Category:Wikipedia articles needing page number citations. Pages in category "Wikipedia articles needing page number citations from June 2015" The following 91 pages are in this category, out of 91 total. This list may not reflect recent changes. |
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[SOURCE: https://en.wikipedia.org/wiki/Library_(computing)] | [TOKENS: 2132] |
Contents Library (computing) In computing, a library is a collection of resources that can be used during software development to implement a computer program. Commonly, a library consists of executable code such as compiled functions and classes, or a library can be a collection of source code. A resource library may contain data such as images and text. A library can be used by multiple, independent consumers (programs and other libraries). This differs from resources defined in a program which can usually only be used by that program. When a consumer uses a library resource, it gains the value of the library without having to implement it itself. Libraries encourage software reuse in a modular fashion. Libraries can use other libraries resulting in a hierarchy of libraries in a program. When writing code that uses a library, a programmer only needs to know how to use that library's application programming interface (API) without understanding its internal mechanics. For example, a program could use a library that abstracts a complicated system call so that the programmer can use the system feature without spending time to learn the intricacies of the system function. History The idea of a computer library dates back to the first computers created by Charles Babbage. An 1888 paper on his Analytical Engine suggested that computer operations could be punched on separate cards from numerical input. If these operation punch cards were saved for reuse then "by degrees the engine would have a library of its own." In 1947 Goldstine and von Neumann speculated that it would be useful to create a "library" of subroutines for their work on the IAS machine, an early computer that was not yet operational at that time. They envisioned a physical library of magnetic wire recordings, with each wire storing reusable computer code. Inspired by von Neumann, Wilkes and his team constructed EDSAC. A filing cabinet of punched tape held the subroutine library for this computer. Programs for EDSAC consisted of a main program and a sequence of subroutines copied from the subroutine library. In 1951 the team published the first textbook on programming, The Preparation of Programs for an Electronic Digital Computer, which detailed the creation and the purpose of the library. COBOL included "primitive capabilities for a library system" in 1959, but Jean Sammet described them as "inadequate library facilities" in retrospect. JOVIAL has a Communication Pool (COMPOOL), roughly a library of header files. Another major contributor to the modern library concept came in the form of the subprogram innovation of FORTRAN. FORTRAN subprograms can be compiled independently of each other, but the compiler lacked a linker. So prior to the introduction of modules in Fortran-90, type checking between FORTRAN[NB 1] subprograms was impossible. By the mid 1960s, copy and macro libraries for assemblers were common. Starting with the popularity of the IBM System/360, libraries containing other types of text elements, e.g., system parameters, also became common. In IBM's OS/360 and its successors this is called a partitioned data set. The first object-oriented programming language, Simula, developed in 1965, supported adding classes to libraries via its compiler. Linking The linking (or binding) process resolves references known as symbols (or links) by searching for them in various locations including configured libraries. If a linker (or binder) does not find a symbol, then it fails, but multiple matches may or may not cause failure. Static linking is linking at build time, such that the library executable code is included in the program. Dynamic linking is linking at run time; it involves building the program with information that supports run-time linking to a dynamic link library (DLL). For dynamic linking, a compatible DLL file must be available to the program at run time, but for static linking, the program is standalone. Smart linking is performed by a build tool that excludes unused code in the linking process. For example, a program that only uses integers for arithmetic, or does no arithmetic operations at all, can exclude floating-point library routines. This can lead to smaller program file size and reduced memory usage. Relocation Some references in a program or library module are stored in a relative or symbolic form which cannot be resolved until all code and libraries are assigned final static addresses. Relocation is the process of adjusting these references, and is done either by the linker or the loader. In general, relocation cannot be done to individual libraries themselves because the addresses in memory may vary depending on the program using them and other libraries they are combined with. Position-independent code avoids references to absolute addresses and therefore does not require relocation. Categories An executable library consists of code that has been converted from source code into machine code or an intermediate form such as bytecode. A linker allows for using library objects by associating each reference with an address at which the object is located. For example, in C, a library function is invoked via C's normal function call syntax and semantics. A variant is a library containing compiled code (object code in IBM's nomenclature) in a form that cannot be loaded by the OS but that can be read by the linker. A static library is an executable library that is linked into a program at build-time by a linker (or whatever the build tool is called that does linking). This process, and the resulting stand-alone file, is known as a static build of the program. A static build may not need any further relocation if virtual memory is used and no address space layout randomization is desired. A static library is sometimes called an archive on Unix-like systems. A dynamic library is linked when the program is run – either at load-time or runtime. The dynamic library was intended after the static library to support additional software deployment flexibility. A source library consists of source code, not compiled code. A shared library is a library that contains executable code designed to be used by multiple computer programs or other libraries at runtime, with only one copy of that code in memory, shared by all programs using the code. Although generally an obsolete technology today, an object library exposes resources for object-oriented programming (OOP) and a distributed object is a remote object library. Examples include: COM/DCOM, SOM/DSOM, DOE, PDO and various CORBA-based systems. The object library technology was developed since as OOP became popular, it became apparent that OOP runtime binding required information than contemporary libraries did not provide. In addition to the names and entry points of the code located within, due to inheritance, OOP binding also requires a list of dependencies – since the full definition of a method may be in different places. Further, this requires more than listing that one library requires the services of another. In OOP, the libraries themselves may not be known at compile time, and vary from system to system. The remote object technology was developed in parallel to support multi-tier programs with a user interface application running on a personal computer (PC) using services of a mainframe or minicomputer such as data storage and processing. For instance, a program on a PC would send messages to a minicomputer via remote procedure call (RPC) to retrieve relatively small samples from a relatively large dataset. In response, distributed object technology was developed. A class library contains classes that can be used to create objects. In Java, for example, classes are contained in JAR files and objects are created at runtime from the classes. However, in Smalltalk, a class library is the starting point for a system image that includes the entire state of the environment, classes and all instantiated objects. Most class libraries are stored in a package repository (such as Maven Central for Java). Client code explicitly specifies dependencies to external libraries in build configuration files (such as a Maven Pom in Java). A remote library runs on another computer and its assets are accessed via remote procedure call (RPC) over a network. This distributed architecture allows for minimizing installation of the library and support for it on each consuming system and ensuring consistent versioning. A significant downside is that each library call entails significantly more overhead than for a local library. A runtime library provides access to the runtime environment that is available to a program – tailored to the host platform. Many modern programming languages specify a standard library that provides a base level of functionality for the language environment. A code generation library has a high-level API generating or transforming byte code for Java. They are used by aspect-oriented programming, some data access frameworks, and for testing to generate dynamic proxy objects. They also are used to intercept field access. File naming On most modern Unix-like systems, library files are stored in directories such as /lib, /usr/lib and /usr/local/lib. A filename typically starts with lib, and ends with .a for a static library (archive) or .so for a shared object (dynamically linked library). For example, libfoo.a and libfoo.so. Often, symbolic link files are used to manage versioning of a library by providing a link file named without a version that links to a file named with a version. For example, libfoo.so.2 might be version 2 of library foo and a link file named libfoo.so provides a version independent name to that file that programs link to. The link file could be changed to a refer to a version 3 (libfoo.so.3) such that consuming programs will then use version 3 without having to change the program. Files with the extension .la are libtool archives; they are not usable by the system. The macOS system inherits static library conventions from BSD, with the library stored in a .a file. It uses either .so or .dylib for dynamic libraries. Most libraries in macOS, however, consist of "frameworks", placed inside special directories called "bundles" which wrap the library's required files and metadata. For example, a framework called Abc would be implemented in a bundle called Abc.framework, with Abc.framework/Abc being either the dynamically linked library file or a symlink to the dynamically linked library file in Abc.framework/Versions/Current/Abc. Often, a Windows dynamic-link library (DLL) has the file extension .dll, although sometimes different extensions are used to indicate general content, e.g. .ocx for a OLE library. A .lib file can be either a static library or contain the information needed to build an application that consumes the associated DLL. In the latter case, the associated DLL file must be present at runtime. See also Notes References Further reading |
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[SOURCE: https://en.wikipedia.org/wiki/Machaerus] | [TOKENS: 2027] |
Contents Machaerus Machaerus (Μαχαιροῦς, from Ancient Greek: μάχαιρα, lit. 'makhaira' [a sword]; Hebrew: מכוור; Arabic: قلعة مكاور, romanized: Qala'at Mukawir, lit. 'Mukawir Castle') was a Hasmonean hilltop palace and desert fortress, rebuilt by Herod and now in ruins, in the village of Mukawir in modern-day Jordan. The site is located 25 km (16 mi) southeast of the mouth of the Jordan River on the eastern side of the Dead Sea. Machaerus was built by Hasmonean king Alexander Jannaeus (r. 104–78 BCE). Destroyed later by Roman general Gabinius in 57 BCE during conflicts with Aristobulus II, it was subsequently rebuilt and expanded by Herod, who envisioned it as a potential refuge. Herod constructed a palace, cisterns, a mikveh, a triclinium, and a peristyle within the fortress. After the fall of Jerusalem during the First Jewish–Roman War, the fortress became a magnet for resistance against Roman rule. Following a siege by Legio X Fretensis under Bassus in 71 CE, the Jewish defenders eventually surrendered after Eleazar, a key leader, was captured. However, the Romans reneged on their agreement regarding the non-Jewish inhabitants, massacring the men and enslaving the women and children. According to the Jewish-Roman historian Flavius Josephus, Machaerus was the location of the imprisonment and execution of John the Baptist. According to the chronology of the Bible (Mark 6:24; Matthew 14:8), the execution took place in about 32 CE shortly before the Passover, following an imprisonment of two years. The site also provides the setting for four additional New Testament figures: Herod the Great; his son, Tetrarch Herod Antipas; his second wife, Princess Herodias; and her daughter, Princess Salome. History The fortress Machaerus was originally built by the Hasmonean king, Alexander Jannaeus (104 BC-78 BC) in about the year 90 BC, serving an important strategic position. Its high, rocky vantage point was difficult to access, and invasions from the east could be easily spotted from there. It was also in line of sight of other Hasmonean (and later Herodian) citadels, so other fortresses could be signaled if trouble appeared on the horizon. Nevertheless, it was destroyed by Pompey's general Gabinius in 57 BC, but later rebuilt by Herod the Great in 30 BC to be used as a military base to safeguard his territories east of the Jordan. According to the site's excavators, the precision of the architectural design indicates the involvements of highly trained royal architects, who are proposed to have arrived from the Ptolemaic court of Alexandria sometime after the Battle of Actium. Upon the death of Herod the Great, the fortress was passed to his son, Herod Antipas, who ruled from 4 BC until 39 AD. It was during this time, at the beginning of the first century of the Common Era, that John the Baptist was imprisoned and beheaded at Machaerus. After the deposition and banishment of Herod Antipas in 39 AD, Machaerus passed to Herod Agrippa I until his death in AD 44, after which it came under Roman control. Jewish rebels took control after AD 66 during the First Jewish Revolt. The fort fell to the Romans in the mop-up operations that followed Titus's destruction of Jerusalem in AD 70. Shortly after defeating the Jewish garrison of Herodium, the Roman legate Lucilius Bassus advanced on Machaerus with his troops and began its siege. Bassus first set engineers to fill the southeastern ravine and raise a ramp; he then began a second ramp from the higher northwestern ridge and ringed the site with a rectangular circumvallation studded with fixed camps to prevent escape. According to Josephus, raiding parties from the garrison harassed the Roman siege force, with losses on both sides, until a turning point: a young, well-born Jewish fighter, Eleazar, lingered outside the gates and was seized by a Roman soldier named Rufus. Bassus had Eleazar flogged in full view of the fortress and ordered a cross brought up; Eleazar then called on his horrified comrades to save themselves by surrendering. Envoys came out to negotiate, and Bassus agreed to spare Eleazar and grant safe conduct to the Jewish defenders. The non-Jewish inhabitants, realizing the terms covered only Jews, attempted a night escape. Warned by their opponents in the upper citadel, the Romans intercepted the breakout: some forced their way through, but 1,700 men were reportedly killed and the women and children taken and sold. The Jewish rebels were allowed to depart, and the fortress was demolished, leaving only its foundations. Design Josephus gives a full description of Machaerus in The Jewish War 7.6.1 ff. The hilltop, which stands about 1,100 meters above Dead Sea level, is surrounded on all sides by deep ravines which provide great natural strength. The valley on the west extends 60 stadia to the Dead Sea (Josephus refers to it as Lake Asphaltitis). The valley on the east descends to a depth of a hundred cubits (150 ft). Herod the Great regarded the place as deserving the strongest fortification, particularly because of its proximity to Arabia. On top of the mountain, surrounding the crest, he built a fortress wall, 100 meters long and 60 meters wide with three corner towers, each sixty cubits (90 ft) high. The palace was built in the center of the fortified area. Numerous cisterns were provided to collect rain water. The royal courtyard is considered one of the closest and best existing archaeological parallels to the Herodian Gabbatha in the Jerusalem Praetorium, where Pontius Pilate judged Jesus of Nazareth. Excavation The village on the plateau to the east of the mountain is called Mukawir (Arabic: مكاور, sometimes also rendered as Mkawer). The site was visited in 1807 by the Frisian explorer Ulrich Jasper Seetzen, and the name of the village reminded him of the name of Machaerus in Greek. The archaeological excavation of Machaerus was begun in 1968 by Jerry Vardaman, then of the Southern Baptist Theological Seminary, and later director of the Cobb Institute of Archaeology at Mississippi State University. In 1973, the German scholar, August Strobel, identified and studied the wall by which the Romans encircled the defenders within the fortress. In 1978–1981, excavations were carried out by Virgilio Corbo, Stanislao Loffreda and Michele Piccirillo, from the Studium Biblicum Franciscanum in Jerusalem. Within the fortified area are the ruins of the Herodian palace, including rooms, a large courtyard, and an elaborate bath, with fragments of the floor mosaic still remaining. Farther down the eastern slope of the hill are other walls and towers, perhaps representing the "lower town," of which Josephus also wrote. Traceable also, coming from the east, is the aqueduct that brought water to the cisterns of the fortress. Pottery found in the area extends from late Hellenistic to Roman periods and confirms the two main periods of occupation, namely, Hasmonean (90 BC-57 BC) and Herodian (30 BC-AD 72), with a brief reoccupation soon after AD 72 and then nothing further—so complete and systematic was the destruction visited upon the site by the Romans. In 2020, a limestone relief from the Herodian period was discovered in Machaerus. Its decoration depicts a trilobate cluster of grapes together with a pomegranate wreath, and its design is closely comparable to the frieze carved above the entrance of the Tomb of the Kings in Jerusalem. On the basis of this comparison, the excavators of Machaerus have argued that the Jerusalem monument was originally commissioned by Herod the Great, rather than by Herod Agrippa I, as previously proposed by some scholars. Anastylosis In the spring of 2014, archeologist Győző Vörös, with a team from the Hungarian Academy of Arts and in cooperation with Prince El Hassan bin Talal and Monther Jamhawi, director general of antiquities in Jordan, completed a reconstruction and re-erection of two ancient columns at the site on the basis of the principle of anastylosis. One Doric column from the royal courtyard and one Ionic column from the royal bathhouse were cleaned and conserved in situ and joined with stainless steel empolia (plugs) which were inserted into the original empolia holes in the center of the column. The team also created a digital reconstruction of what the palace would have looked like, based on their archaeological findings. In the early 2020s, two complete Herodian columns that had been re-erected at the site were vandalized and demolished in separate events: one Doric column in February 2022 and another Ionic column in March 2023. Following King Abdullah II's visit to Machaerus on 12 September 2023, and upon his instruction, the Jordanian Department of Antiquities re-erected both columns again in November 2023. See also Notes Further reading External links |
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File:Canyon River Tree (165872763).jpeg Summary Chuar Butte Gunther Castle Temple Butte File history Click on a date/time to view the file as it appeared at that time. File usage The following 5 pages use this file: Global file usage The following other wikis use this file: Metadata This file contains additional information, probably added from the digital camera or scanner used to create or digitize it. If the file has been modified from its original state, some details may not fully reflect the modified file. |
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[SOURCE: https://en.wikipedia.org/wiki/Python_(programming_language)#cite_ref-PEP20_69-1] | [TOKENS: 4314] |
Contents Python (programming language) Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language. Python 3.0, released in 2008, was a major revision and not completely backward-compatible with earlier versions. Beginning with Python 3.5, capabilities and keywords for typing were added to the language, allowing optional static typing. As of 2026[update], the Python Software Foundation supports Python 3.10, 3.11, 3.12, 3.13, and 3.14, following the project's annual release cycle and five-year support policy. Python 3.15 is currently in the alpha development phase, and the stable release is expected to come out in October 2026. Earlier versions in the 3.x series have reached end-of-life and no longer receive security updates. Python has gained widespread use in the machine learning community. It is widely taught as an introductory programming language. Since 2003, Python has consistently ranked in the top ten of the most popular programming languages in the TIOBE Programming Community Index, which ranks based on searches in 24 platforms. History Python was conceived in the late 1980s by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands. It was designed as a successor to the ABC programming language, which was inspired by SETL, capable of exception handling and interfacing with the Amoeba operating system. Python implementation began in December 1989. Van Rossum first released it in 1991 as Python 0.9.0. Van Rossum assumed sole responsibility for the project, as the lead developer, until 12 July 2018, when he announced his "permanent vacation" from responsibilities as Python's "benevolent dictator for life" (BDFL); this title was bestowed on him by the Python community to reflect his long-term commitment as the project's chief decision-maker. (He has since come out of retirement and is self-titled "BDFL-emeritus".) In January 2019, active Python core developers elected a five-member Steering Council to lead the project. The name Python derives from the British comedy series Monty Python's Flying Circus. (See § Naming.) Python 2.0 was released on 16 October 2000, featuring many new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support. Python 2.7's end-of-life was initially set for 2015, and then postponed to 2020 out of concern that a large body of existing code could not easily be forward-ported to Python 3. It no longer receives security patches or updates. While Python 2.7 and older versions are officially unsupported, a different unofficial Python implementation, PyPy, continues to support Python 2, i.e., "2.7.18+" (plus 3.11), with the plus signifying (at least some) "backported security updates". Python 3.0 was released on 3 December 2008, and was a major revision and not completely backward-compatible with earlier versions, with some new semantics and changed syntax. Python 2.7.18, released in 2020, was the last release of Python 2. Several releases in the Python 3.x series have added new syntax to the language, and made a few (considered very minor) backward-incompatible changes. As of January 2026[update], Python 3.14.3 is the latest stable release. All older 3.x versions had a security update down to Python 3.9.24 then again with 3.9.25, the final version in 3.9 series. Python 3.10 is, since November 2025, the oldest supported branch. Python 3.15 has an alpha released, and Android has an official downloadable executable available for Python 3.14. Releases receive two years of full support followed by three years of security support. Design philosophy and features Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming – including metaprogramming and metaobjects. Many other paradigms are supported via extensions, including design by contract and logic programming. Python is often referred to as a 'glue language' because it is purposely designed to be able to integrate components written in other languages. Python uses dynamic typing and a combination of reference counting and a cycle-detecting garbage collector for memory management. It uses dynamic name resolution (late binding), which binds method and variable names during program execution. Python's design offers some support for functional programming in the "Lisp tradition". It has filter, map, and reduce functions; list comprehensions, dictionaries, sets, and generator expressions. The standard library has two modules (itertools and functools) that implement functional tools borrowed from Haskell and Standard ML. Python's core philosophy is summarized in the Zen of Python (PEP 20) written by Tim Peters, which includes aphorisms such as these: However, Python has received criticism for violating these principles and adding unnecessary language bloat. Responses to these criticisms note that the Zen of Python is a guideline rather than a rule. The addition of some new features had been controversial: Guido van Rossum resigned as Benevolent Dictator for Life after conflict about adding the assignment expression operator in Python 3.8. Nevertheless, rather than building all functionality into its core, Python was designed to be highly extensible via modules. This compact modularity has made it particularly popular as a means of adding programmable interfaces to existing applications. Van Rossum's vision of a small core language with a large standard library and easily extensible interpreter stemmed from his frustrations with ABC, which represented the opposite approach. Python claims to strive for a simpler, less-cluttered syntax and grammar, while giving developers a choice in their coding methodology. Python lacks do .. while loops, which Rossum considered harmful. In contrast to Perl's motto "there is more than one way to do it", Python advocates an approach where "there should be one – and preferably only one – obvious way to do it". In practice, however, Python provides many ways to achieve a given goal. There are at least three ways to format a string literal, with no certainty as to which one a programmer should use. Alex Martelli is a Fellow at the Python Software Foundation and Python book author; he wrote that "To describe something as 'clever' is not considered a compliment in the Python culture." Python's developers typically prioritize readability over performance. For example, they reject patches to non-critical parts of the CPython reference implementation that would offer increases in speed that do not justify the cost of clarity and readability.[failed verification] Execution speed can be improved by moving speed-critical functions to extension modules written in languages such as C, or by using a just-in-time compiler like PyPy. Also, it is possible to transpile to other languages. However, this approach either fails to achieve the expected speed-up, since Python is a very dynamic language, or only a restricted subset of Python is compiled (with potential minor semantic changes). Python is meant to be a fun language to use. This goal is reflected in the name – a tribute to the British comedy group Monty Python – and in playful approaches to some tutorials and reference materials. For instance, some code examples use the terms "spam" and "eggs" (in reference to a Monty Python sketch), rather than the typical terms "foo" and "bar". A common neologism in the Python community is pythonic, which has a broad range of meanings related to program style: Pythonic code may use Python idioms well; be natural or show fluency in the language; or conform with Python's minimalist philosophy and emphasis on readability. Syntax and semantics Python is meant to be an easily readable language. Its formatting is visually uncluttered and often uses English keywords where other languages use punctuation. Unlike many other languages, it does not use curly brackets to delimit blocks, and semicolons after statements are allowed but rarely used. It has fewer syntactic exceptions and special cases than C or Pascal. Python uses whitespace indentation, rather than curly brackets or keywords, to delimit blocks. An increase in indentation comes after certain statements; a decrease in indentation signifies the end of the current block. Thus, the program's visual structure accurately represents its semantic structure. This feature is sometimes termed the off-side rule. Some other languages use indentation this way; but in most, indentation has no semantic meaning. The recommended indent size is four spaces. Python's statements include the following: The assignment statement (=) binds a name as a reference to a separate, dynamically allocated object. Variables may subsequently be rebound at any time to any object. In Python, a variable name is a generic reference holder without a fixed data type; however, it always refers to some object with a type. This is called dynamic typing—in contrast to statically-typed languages, where each variable may contain only a value of a certain type. Python does not support tail call optimization or first-class continuations; according to Van Rossum, the language never will. However, better support for coroutine-like functionality is provided by extending Python's generators. Before 2.5, generators were lazy iterators; data was passed unidirectionally out of the generator. From Python 2.5 on, it is possible to pass data back into a generator function; and from version 3.3, data can be passed through multiple stack levels. Python's expressions include the following: In Python, a distinction between expressions and statements is rigidly enforced, in contrast to languages such as Common Lisp, Scheme, or Ruby. This distinction leads to duplicating some functionality, for example: A statement cannot be part of an expression; because of this restriction, expressions such as list and dict comprehensions (and lambda expressions) cannot contain statements. As a particular case, an assignment statement such as a = 1 cannot be part of the conditional expression of a conditional statement. Python uses duck typing, and it has typed objects but untyped variable names. Type constraints are not checked at definition time; rather, operations on an object may fail at usage time, indicating that the object is not of an appropriate type. Despite being dynamically typed, Python is strongly typed, forbidding operations that are poorly defined (e.g., adding a number and a string) rather than quietly attempting to interpret them. Python allows programmers to define their own types using classes, most often for object-oriented programming. New instances of classes are constructed by calling the class, for example, SpamClass() or EggsClass()); the classes are instances of the metaclass type (which is an instance of itself), thereby allowing metaprogramming and reflection. Before version 3.0, Python had two kinds of classes, both using the same syntax: old-style and new-style. Current Python versions support the semantics of only the new style. Python supports optional type annotations. These annotations are not enforced by the language, but may be used by external tools such as mypy to catch errors. Python includes a module typing including several type names for type annotations. Also, mypy supports a Python compiler called mypyc, which leverages type annotations for optimization. 1.33333 frozenset() Python includes conventional symbols for arithmetic operators (+, -, *, /), the floor-division operator //, and the modulo operator %. (With the modulo operator, a remainder can be negative, e.g., 4 % -3 == -2.) Also, Python offers the ** symbol for exponentiation, e.g. 5**3 == 125 and 9**0.5 == 3.0. Also, it offers the matrix‑multiplication operator @ . These operators work as in traditional mathematics; with the same precedence rules, the infix operators + and - can also be unary, to represent positive and negative numbers respectively. Division between integers produces floating-point results. The behavior of division has changed significantly over time: In Python terms, the / operator represents true division (or simply division), while the // operator represents floor division. Before version 3.0, the / operator represents classic division. Rounding towards negative infinity, though a different method than in most languages, adds consistency to Python. For instance, this rounding implies that the equation (a + b)//b == a//b + 1 is always true. Also, the rounding implies that the equation b*(a//b) + a%b == a is valid for both positive and negative values of a. As expected, the result of a%b lies in the half-open interval [0, b), where b is a positive integer; however, maintaining the validity of the equation requires that the result must lie in the interval (b, 0] when b is negative. Python provides a round function for rounding a float to the nearest integer. For tie-breaking, Python 3 uses the round to even method: round(1.5) and round(2.5) both produce 2. Python versions before 3 used the round-away-from-zero method: round(0.5) is 1.0, and round(-0.5) is −1.0. Python allows Boolean expressions that contain multiple equality relations to be consistent with general usage in mathematics. For example, the expression a < b < c tests whether a is less than b and b is less than c. C-derived languages interpret this expression differently: in C, the expression would first evaluate a < b, resulting in 0 or 1, and that result would then be compared with c. Python uses arbitrary-precision arithmetic for all integer operations. The Decimal type/class in the decimal module provides decimal floating-point numbers to a pre-defined arbitrary precision with several rounding modes. The Fraction class in the fractions module provides arbitrary precision for rational numbers. Due to Python's extensive mathematics library and the third-party library NumPy, the language is frequently used for scientific scripting in tasks such as numerical data processing and manipulation. Functions are created in Python by using the def keyword. A function is defined similarly to how it is called, by first providing the function name and then the required parameters. Here is an example of a function that prints its inputs: To assign a default value to a function parameter in case no actual value is provided at run time, variable-definition syntax can be used inside the function header. Code examples "Hello, World!" program: Program to calculate the factorial of a non-negative integer: Libraries Python's large standard library is commonly cited as one of its greatest strengths. For Internet-facing applications, many standard formats and protocols such as MIME and HTTP are supported. The language includes modules for creating graphical user interfaces, connecting to relational databases, generating pseudorandom numbers, arithmetic with arbitrary-precision decimals, manipulating regular expressions, and unit testing. Some parts of the standard library are covered by specifications—for example, the Web Server Gateway Interface (WSGI) implementation wsgiref follows PEP 333—but most parts are specified by their code, internal documentation, and test suites. However, because most of the standard library is cross-platform Python code, only a few modules must be altered or rewritten for variant implementations. As of 13 March 2025,[update] the Python Package Index (PyPI), the official repository for third-party Python software, contains over 614,339 packages. Development environments Most[which?] Python implementations (including CPython) include a read–eval–print loop (REPL); this permits the environment to function as a command line interpreter, with which users enter statements sequentially and receive results immediately. Also, CPython is bundled with an integrated development environment (IDE) called IDLE, which is oriented toward beginners.[citation needed] Other shells, including IDLE and IPython, add additional capabilities such as improved auto-completion, session-state retention, and syntax highlighting. Standard desktop IDEs include PyCharm, Spyder, and Visual Studio Code; there are web browser-based IDEs, such as the following environments: Implementations CPython is the reference implementation of Python. This implementation is written in C, meeting the C11 standard since version 3.11. Older versions use the C89 standard with several select C99 features, but third-party extensions are not limited to older C versions—e.g., they can be implemented using C11 or C++. CPython compiles Python programs into an intermediate bytecode, which is then executed by a virtual machine. CPython is distributed with a large standard library written in a combination of C and native Python. CPython is available for many platforms, including Windows and most modern Unix-like systems, including macOS (and Apple M1 Macs, since Python 3.9.1, using an experimental installer). Starting with Python 3.9, the Python installer intentionally fails to install on Windows 7 and 8; Windows XP was supported until Python 3.5, with unofficial support for VMS. Platform portability was one of Python's earliest priorities. During development of Python 1 and 2, even OS/2 and Solaris were supported; since that time, support has been dropped for many platforms. All current Python versions (since 3.7) support only operating systems that feature multithreading, by now supporting not nearly as many operating systems (dropping many outdated) than in the past. All alternative implementations have at least slightly different semantics. For example, an alternative may include unordered dictionaries, in contrast to other current Python versions. As another example in the larger Python ecosystem, PyPy does not support the full C Python API. Creating an executable with Python often is done by bundling an entire Python interpreter into the executable, which causes binary sizes to be massive for small programs, yet there exist implementations that are capable of truly compiling Python. Alternative implementations include the following: Stackless Python is a significant fork of CPython that implements microthreads. This implementation uses the call stack differently, thus allowing massively concurrent programs. PyPy also offers a stackless version. Just-in-time Python compilers have been developed, but are now unsupported: There are several compilers/transpilers to high-level object languages; the source language is unrestricted Python, a subset of Python, or a language similar to Python: There are also specialized compilers: Some older projects existed, as well as compilers not designed for use with Python 3.x and related syntax: A performance comparison among various Python implementations, using a non-numerical (combinatorial) workload, was presented at EuroSciPy '13. In addition, Python's performance relative to other programming languages is benchmarked by The Computer Language Benchmarks Game. There are several approaches to optimizing Python performance, despite the inherent slowness of an interpreted language. These approaches include the following strategies or tools: Language Development Python's development is conducted mostly through the Python Enhancement Proposal (PEP) process; this process is the primary mechanism for proposing major new features, collecting community input on issues, and documenting Python design decisions. Python coding style is covered in PEP 8. Outstanding PEPs are reviewed and commented on by the Python community and the steering council. Enhancement of the language corresponds with development of the CPython reference implementation. The mailing list python-dev is the primary forum for the language's development. Specific issues were originally discussed in the Roundup bug tracker hosted by the foundation. In 2022, all issues and discussions were migrated to GitHub. Development originally took place on a self-hosted source-code repository running Mercurial, until Python moved to GitHub in January 2017. CPython's public releases have three types, distinguished by which part of the version number is incremented: Many alpha, beta, and release-candidates are also released as previews and for testing before final releases. Although there is a rough schedule for releases, they are often delayed if the code is not ready yet. Python's development team monitors the state of the code by running a large unit test suite during development. The major academic conference on Python is PyCon. Also, there are special Python mentoring programs, such as PyLadies. Naming Python's name is inspired by the British comedy group Monty Python, whom Python creator Guido van Rossum enjoyed while developing the language. Monty Python references appear frequently in Python code and culture; for example, the metasyntactic variables often used in Python literature are spam and eggs, rather than the traditional foo and bar. Also, the official Python documentation contains various references to Monty Python routines. Python users are sometimes referred to as "Pythonistas". Languages influenced by Python See also Notes References Further reading External links |
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[SOURCE: https://en.wikipedia.org/wiki/L4S] | [TOKENS: 608] |
Contents L4S L4S (for Low Latency, Low Loss and Scalable Throughput) is an IETF network protocol and congestion control technology designed to simultaneously lower network latency and packet loss rates by reducing bufferbloat throughout the Internet, while preserving network throughput. It uses novel congestion control mechanisms to reduce queuing in the network. L4S effectively introduces new rules for compliant endpoints and their traffic, giving L4S traffic preferential treatment in exchange for L4S endpoints cooperating by using improved congestion control algorithms. It has the remarkable property of not only improving performance for L4S traffic, but also improving performance for non-L4S traffic sharing the same infrastructure. L4S has the advantage that it can start to provide incremental latency and throughput improvements through patchwork deployment by individual network operators without having to be adopted throughout the entire Internet, thus providing an incentive for early adopters. Details L4S uses Explicit Congestion Notification (ECN) to transmit information about path latency problems, and allows congested nodes to use the ECN bits to send information back to senders that will allow them to adjust their transmit rate, reducing the need for data buffering within router queues. L4S is specified in RFC 9330. It uses the last codepoint of the Internet Protocol header's ECN field that had not previously been assigned to signal that traffic is from an L4S-capable sender. The full set of four ECN codes for packets are thus: Routers can thus treat L4S traffic differently from non-L4S traffic, knowing that L4S endpoints can throttle back traffic in a more controlled way than would be possible using classic ECN. This is done by treating L4S traffic differently for both the cases of queuing and marking. In an ideal world, L4S traffic would not need any network traffic policing, being entirely self-regulating. In practice. policing may be required to prevent attacks on infrastructure from mis-labeled traffic being introduced by non-compliant endpoints. Congestion control The Prague requirements for transport protocol-level congestion control algorithms for L4S-enabled links were adapted from Data Center TCP, and are published in RFC 9331. They include requirements for non-disruptive coexistance with non-ECN-aware and non-L4S-aware classic ECN traffic. Deployment As of January 2025[update], Internet service providers had started to roll out L4S in their production networks, with Comcast being an early adopter. Apple have incorporated L4S support in their newer operating systems since 2023. Linux support for L4S, in the form of TCP Prague, is available on an experimental basis, and is expected to be merged into the main Linux kernel tree soon. In July 2025, T-Mobile announced support for L4S at a network level. In October 2025, Nokia and Vodafone were reported to have successfully tested L4S on a fibre-to-the-home system. See also References External links |
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[SOURCE: https://en.wikipedia.org/wiki/OpenAI#cite_ref-cnbc-restructure_63-2] | [TOKENS: 8773] |
Contents OpenAI OpenAI is an American artificial intelligence research organization comprising both a non-profit foundation and a controlled for-profit public benefit corporation (PBC), headquartered in San Francisco. It aims to develop "safe and beneficial" artificial general intelligence (AGI), which it defines as "highly autonomous systems that outperform humans at most economically valuable work". OpenAI is widely recognized for its development of the GPT family of large language models, the DALL-E series of text-to-image models, and the Sora series of text-to-video models, which have influenced industry research and commercial applications. Its release of ChatGPT in November 2022 has been credited with catalyzing widespread interest in generative AI. The organization was founded in 2015 in Delaware but evolved a complex corporate structure. As of October 2025, following restructuring approved by California and Delaware regulators, the non-profit OpenAI Foundation holds 26% of the for-profit OpenAI Group PBC, with Microsoft holding 27% and employees/other investors holding 47%. Under its governance arrangements, the OpenAI Foundation holds the authority to appoint the board of the for-profit OpenAI Group PBC, a mechanism designed to align the entity’s strategic direction with the Foundation’s charter. Microsoft previously invested over $13 billion into OpenAI, and provides Azure cloud computing resources. In October 2025, OpenAI conducted a $6.6 billion share sale that valued the company at $500 billion. In 2023 and 2024, OpenAI faced multiple lawsuits for alleged copyright infringement against authors and media companies whose work was used to train some of OpenAI's products. In November 2023, OpenAI's board removed Sam Altman as CEO, citing a lack of confidence in him, but reinstated him five days later following a reconstruction of the board. Throughout 2024, roughly half of then-employed AI safety researchers left OpenAI, citing the company's prominent role in an industry-wide problem. Founding In December 2015, OpenAI was founded as a not for profit organization by Sam Altman, Elon Musk, Ilya Sutskever, Greg Brockman, Trevor Blackwell, Vicki Cheung, Andrej Karpathy, Durk Kingma, John Schulman, Pamela Vagata, and Wojciech Zaremba, with Sam Altman and Elon Musk as the co-chairs. A total of $1 billion in capital was pledged by Sam Altman, Greg Brockman, Elon Musk, Reid Hoffman, Jessica Livingston, Peter Thiel, Amazon Web Services (AWS), and Infosys. However, the actual capital collected significantly lagged pledges. According to company disclosures, only $130 million had been received by 2019. In its founding charter, OpenAI stated an intention to collaborate openly with other institutions by making certain patents and research publicly available, but later restricted access to its most capable models, citing competitive and safety concerns. OpenAI was initially run from Brockman's living room. It was later headquartered at the Pioneer Building in the Mission District, San Francisco. According to OpenAI's charter, its founding mission is "to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity." Musk and Altman stated in 2015 that they were partly motivated by concerns about AI safety and existential risk from artificial general intelligence. OpenAI stated that "it's hard to fathom how much human-level AI could benefit society", and that it is equally difficult to comprehend "how much it could damage society if built or used incorrectly". The startup also wrote that AI "should be an extension of individual human wills and, in the spirit of liberty, as broadly and evenly distributed as possible", and that "because of AI's surprising history, it's hard to predict when human-level AI might come within reach. When it does, it'll be important to have a leading research institution which can prioritize a good outcome for all over its own self-interest." Co-chair Sam Altman expected a decades-long project that eventually surpasses human intelligence. Brockman met with Yoshua Bengio, one of the "founding fathers" of deep learning, and drew up a list of great AI researchers. Brockman was able to hire nine of them as the first employees in December 2015. OpenAI did not pay AI researchers salaries comparable to those of Facebook or Google. It also did not pay stock options which AI researchers typically get. Nevertheless, OpenAI spent $7 million on its first 52 employees in 2016. OpenAI's potential and mission drew these researchers to the firm; a Google employee said he was willing to leave Google for OpenAI "partly because of the very strong group of people and, to a very large extent, because of its mission." OpenAI co-founder Wojciech Zaremba stated that he turned down "borderline crazy" offers of two to three times his market value to join OpenAI instead. In April 2016, OpenAI released a public beta of "OpenAI Gym", its platform for reinforcement learning research. Nvidia gifted its first DGX-1 supercomputer to OpenAI in August 2016 to help it train larger and more complex AI models with the capability of reducing processing time from six days to two hours. In December 2016, OpenAI released "Universe", a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites, and other applications. Corporate structure In 2019, OpenAI transitioned from non-profit to "capped" for-profit, with the profit being capped at 100 times any investment. According to OpenAI, the capped-profit model allows OpenAI Global, LLC to legally attract investment from venture funds and, in addition, to grant employees stakes in the company. Many top researchers work for Google Brain, DeepMind, or Facebook, which offer equity that a nonprofit would be unable to match. Before the transition, OpenAI was legally required to publicly disclose the compensation of its top employees. The company then distributed equity to its employees and partnered with Microsoft, announcing an investment package of $1 billion into the company. Since then, OpenAI systems have run on an Azure-based supercomputing platform from Microsoft. OpenAI Global, LLC then announced its intention to commercially license its technologies. It planned to spend $1 billion "within five years, and possibly much faster". Altman stated that even a billion dollars may turn out to be insufficient, and that the lab may ultimately need "more capital than any non-profit has ever raised" to achieve artificial general intelligence. The nonprofit, OpenAI, Inc., is the sole controlling shareholder of OpenAI Global, LLC, which, despite being a for-profit company, retains a formal fiduciary responsibility to OpenAI, Inc.'s nonprofit charter. A majority of OpenAI, Inc.'s board is barred from having financial stakes in OpenAI Global, LLC. In addition, minority members with a stake in OpenAI Global, LLC are barred from certain votes due to conflict of interest. Some researchers have argued that OpenAI Global, LLC's switch to for-profit status is inconsistent with OpenAI's claims to be "democratizing" AI. On February 29, 2024, Elon Musk filed a lawsuit against OpenAI and CEO Sam Altman, accusing them of shifting focus from public benefit to profit maximization—a case OpenAI dismissed as "incoherent" and "frivolous," though Musk later revived legal action against Altman and others in August. On April 9, 2024, OpenAI countersued Musk in federal court, alleging that he had engaged in "bad-faith tactics" to slow the company's progress and seize its innovations for his personal benefit. OpenAI also argued that Musk had previously supported the creation of a for-profit structure and had expressed interest in controlling OpenAI himself. The countersuit seeks damages and legal measures to prevent further alleged interference. On February 10, 2025, a consortium of investors led by Elon Musk submitted a $97.4 billion unsolicited bid to buy the nonprofit that controls OpenAI, declaring willingness to match or exceed any better offer. The offer was rejected on 14 February 2025, with OpenAI stating that it was not for sale, but the offer complicated Altman's restructuring plan by suggesting a lower bar for how much the nonprofit should be valued. OpenAI, Inc. was originally designed as a nonprofit in order to ensure that AGI "benefits all of humanity" rather than "the private gain of any person". In 2019, it created OpenAI Global, LLC, a capped-profit subsidiary controlled by the nonprofit. In December 2024, OpenAI proposed a restructuring plan to convert the capped-profit into a Delaware-based public benefit corporation (PBC), and to release it from the control of the nonprofit. The nonprofit would sell its control and other assets, getting equity in return, and would use it to fund and pursue separate charitable projects, including in science and education. OpenAI's leadership described the change as necessary to secure additional investments, and claimed that the nonprofit's founding mission to ensure AGI "benefits all of humanity" would be better fulfilled. The plan has been criticized by former employees. A legal letter named "Not For Private Gain" asked the attorneys general of California and Delaware to intervene, stating that the restructuring is illegal and would remove governance safeguards from the nonprofit and the attorneys general. The letter argues that OpenAI's complex structure was deliberately designed to remain accountable to its mission, without the conflicting pressure of maximizing profits. It contends that the nonprofit is best positioned to advance its mission of ensuring AGI benefits all of humanity by continuing to control OpenAI Global, LLC, whatever the amount of equity that it could get in exchange. PBCs can choose how they balance their mission with profit-making. Controlling shareholders have a large influence on how closely a PBC sticks to its mission. On October 28, 2025, OpenAI announced that it had adopted the new PBC corporate structure after receiving approval from the attorneys general of California and Delaware. Under the new structure, OpenAI's for-profit branch became a public benefit corporation known as OpenAI Group PBC, while the non-profit was renamed to the OpenAI Foundation. The OpenAI Foundation holds a 26% stake in the PBC, while Microsoft holds a 27% stake and the remaining 47% is owned by employees and other investors. All members of the OpenAI Group PBC board of directors will be appointed by the OpenAI Foundation, which can remove them at any time. Members of the Foundation's board will also serve on the for-profit board. The new structure allows the for-profit PBC to raise investor funds like most traditional tech companies, including through an initial public offering, which Altman claimed was the most likely path forward. In January 2023, OpenAI Global, LLC was in talks for funding that would value the company at $29 billion, double its 2021 value. On January 23, 2023, Microsoft announced a new US$10 billion investment in OpenAI Global, LLC over multiple years, partially needed to use Microsoft's cloud-computing service Azure. From September to December, 2023, Microsoft rebranded all variants of its Copilot to Microsoft Copilot, and they added MS-Copilot to many installations of Windows and released Microsoft Copilot mobile apps. Following OpenAI's 2025 restructuring, Microsoft owns a 27% stake in the for-profit OpenAI Group PBC, valued at $135 billion. In a deal announced the same day, OpenAI agreed to purchase $250 billion of Azure services, with Microsoft ceding their right of first refusal over OpenAI's future cloud computing purchases. As part of the deal, OpenAI will continue to share 20% of its revenue with Microsoft until it achieves AGI, which must now be verified by an independent panel of experts. The deal also loosened restrictions on both companies working with third parties, allowing Microsoft to pursue AGI independently and allowing OpenAI to develop products with other companies. In 2017, OpenAI spent $7.9 million, a quarter of its functional expenses, on cloud computing alone. In comparison, DeepMind's total expenses in 2017 were $442 million. In the summer of 2018, training OpenAI's Dota 2 bots required renting 128,000 CPUs and 256 GPUs from Google for multiple weeks. In October 2024, OpenAI completed a $6.6 billion capital raise with a $157 billion valuation including investments from Microsoft, Nvidia, and SoftBank. On January 21, 2025, Donald Trump announced The Stargate Project, a joint venture between OpenAI, Oracle, SoftBank and MGX to build an AI infrastructure system in conjunction with the US government. The project takes its name from OpenAI's existing "Stargate" supercomputer project and is estimated to cost $500 billion. The partners planned to fund the project over the next four years. In July, the United States Department of Defense announced that OpenAI had received a $200 million contract for AI in the military, along with Anthropic, Google, and xAI. In the same month, the company made a deal with the UK Government to use ChatGPT and other AI tools in public services. OpenAI subsequently began a $50 million fund to support nonprofit and community organizations. In April 2025, OpenAI raised $40 billion at a $300 billion post-money valuation, which was the highest-value private technology deal in history. The financing round was led by SoftBank, with other participants including Microsoft, Coatue, Altimeter and Thrive. In July 2025, the company reported annualized revenue of $12 billion. This was an increase from $3.7 billion in 2024, which was driven by ChatGPT subscriptions, which reached 20 million paid subscribers by April 2025, up from 15.5 million at the end of 2024, alongside a rapidly expanding enterprise customer base that grew to five million business users. The company’s cash burn remains high because of the intensive computational costs required to train and operate large language models. It projects an $8 billion operating loss in 2025. OpenAI reports revised long-term spending projections totaling approximately $115 billion through 2029, with annual expenditures projected to escalate significantly, reaching $17 billion in 2026, $35 billion in 2027, and $45 billion in 2028. These expenditures are primarily allocated toward expanding compute infrastructure, developing proprietary AI chips, constructing data centers, and funding intensive model training programs, with more than half of the spending through the end of the decade expected to support research-intensive compute for model training and development. The company's financial strategy prioritizes market expansion and technological advancement over near-term profitability, with OpenAI targeting cash-flow-positive operations by 2029 and projecting revenue of approximately $200 billion by 2030. This aggressive spending trajectory underscores both the enormous capital requirements of scaling cutting-edge AI technology and OpenAI's commitment to maintaining its position as a leader in the artificial intelligence industry. In October 2025, OpenAI completed an employee share sale of up to $10 billion to existing investors which valued the company at $500 billion. The deal values OpenAI as the most valuable privately owned company in the world—surpassing SpaceX as the world's most valuable private company. On November 17, 2023, Sam Altman was removed as CEO when its board of directors (composed of Helen Toner, Ilya Sutskever, Adam D'Angelo and Tasha McCauley) cited a lack of confidence in him. Chief Technology Officer Mira Murati took over as interim CEO. Greg Brockman, the president of OpenAI, was also removed as chairman of the board and resigned from the company's presidency shortly thereafter. Three senior OpenAI researchers subsequently resigned: director of research and GPT-4 lead Jakub Pachocki, head of AI risk Aleksander Mądry, and researcher Szymon Sidor. On November 18, 2023, there were reportedly talks of Altman returning as CEO amid pressure placed upon the board by investors such as Microsoft and Thrive Capital, who objected to Altman's departure. Although Altman himself spoke in favor of returning to OpenAI, he has since stated that he considered starting a new company and bringing former OpenAI employees with him if talks to reinstate him didn't work out. The board members agreed "in principle" to resign if Altman returned. On November 19, 2023, negotiations with Altman to return failed and Murati was replaced by Emmett Shear as interim CEO. The board initially contacted Anthropic CEO Dario Amodei (a former OpenAI executive) about replacing Altman, and proposed a merger of the two companies, but both offers were declined. On November 20, 2023, Microsoft CEO Satya Nadella announced Altman and Brockman would be joining Microsoft to lead a new advanced AI research team, but added that they were still committed to OpenAI despite recent events. Before the partnership with Microsoft was finalized, Altman gave the board another opportunity to negotiate with him. About 738 of OpenAI's 770 employees, including Murati and Sutskever, signed an open letter stating they would quit their jobs and join Microsoft if the board did not rehire Altman and then resign. This prompted OpenAI investors to consider legal action against the board as well. In response, OpenAI management sent an internal memo to employees stating that negotiations with Altman and the board had resumed and would take some time. On November 21, 2023, after continued negotiations, Altman and Brockman returned to the company in their prior roles along with a reconstructed board made up of new members Bret Taylor (as chairman) and Lawrence Summers, with D'Angelo remaining. According to subsequent reporting, shortly before Altman’s firing, some employees raised concerns to the board about how he had handled the safety implications of a recent internal AI capability discovery. On November 29, 2023, OpenAI announced that an anonymous Microsoft employee had joined the board as a non-voting member to observe the company's operations; Microsoft resigned from the board in July 2024. In February 2024, the Securities and Exchange Commission subpoenaed OpenAI's internal communication to determine if Altman's alleged lack of candor misled investors. In 2024, following the temporary removal of Sam Altman and his return, many employees gradually left OpenAI, including most of the original leadership team and a significant number of AI safety researchers. In August 2023, it was announced that OpenAI had acquired the New York-based start-up Global Illumination, a company that deploys AI to develop digital infrastructure and creative tools. In June 2024, OpenAI acquired Multi, a startup focused on remote collaboration. In March 2025, OpenAI reached a deal with CoreWeave to acquire $350 million worth of CoreWeave shares and access to AI infrastructure, in return for $11.9 billion paid over five years. Microsoft was already CoreWeave's biggest customer in 2024. Alongside their other business dealings, OpenAI and Microsoft were renegotiating the terms of their partnership to facilitate a potential future initial public offering by OpenAI, while ensuring Microsoft's continued access to advanced AI models. On May 21, OpenAI announced the $6.5 billion acquisition of io, an AI hardware start-up founded by former Apple designer Jony Ive in 2024. In September 2025, OpenAI agreed to acquire the product testing startup Statsig for $1.1 billion in an all-stock deal and appointed Statsig's founding CEO Vijaye Raji as OpenAI's chief technology officer of applications. The company also announced development of an AI-driven hiring service designed to rival LinkedIn. OpenAI acquired personal finance app Roi in October 2025. In October 2025, OpenAI acquired Software Applications Incorporated, the developer of Sky, a macOS-based natural language interface designed to operate across desktop applications. The Sky team joined OpenAI, and the company announced plans to integrate Sky’s capabilities into ChatGPT. In December 2025, it was announced OpenAI had agreed to acquire Neptune, an AI tooling startup that helps companies track and manage model training, for an undisclosed amount. In January 2026, it was announced OpenAI had acquired healthcare technology startup Torch for approximately $60 million. The acquisition followed the launch of OpenAI’s ChatGPT Health product and was intended to strengthen the company’s medical data and healthcare artificial intelligence capabilities. OpenAI has been criticized for outsourcing the annotation of data sets to Sama, a company based in San Francisco that employed workers in Kenya. These annotations were used to train an AI model to detect toxicity, which could then be used to moderate toxic content, notably from ChatGPT's training data and outputs. However, these pieces of text usually contained detailed descriptions of various types of violence, including sexual violence. The investigation uncovered that OpenAI began sending snippets of data to Sama as early as November 2021. The four Sama employees interviewed by Time described themselves as mentally scarred. OpenAI paid Sama $12.50 per hour of work, and Sama was redistributing the equivalent of between $1.32 and $2.00 per hour post-tax to its annotators. Sama's spokesperson said that the $12.50 was also covering other implicit costs, among which were infrastructure expenses, quality assurance and management. In 2024, OpenAI began collaborating with Broadcom to design a custom AI chip capable of both training and inference, targeted for mass production in 2026 and to be manufactured by TSMC on a 3 nm process node. This initiative intended to reduce OpenAI's dependence on Nvidia GPUs, which are costly and face high demand in the market. In January 2024, Arizona State University purchased ChatGPT Enterprise in OpenAI's first deal with a university. In June 2024, Apple Inc. signed a contract with OpenAI to integrate ChatGPT features into its products as part of its new Apple Intelligence initiative. In June 2025, OpenAI began renting Google Cloud's Tensor Processing Units (TPUs) to support ChatGPT and related services, marking its first meaningful use of non‑Nvidia AI chips. In September 2025, it was revealed that OpenAI signed a contract with Oracle to purchase $300 billion in computing power over the next five years. In September 2025, OpenAI and NVIDIA announced a memorandum of understanding that included a potential deployment of at least 10 gigawatts of NVIDIA systems and a $100 billion investment from NVIDIA in OpenAI. OpenAI expected the negotiations to be completed within weeks. As of January 2026, this has not been realized, and the two sides are rethinking the future of their partnership. In October 2025, OpenAI announced a multi-billion dollar deal with AMD. OpenAI committed to purchasing six gigawatts worth of AMD chips, starting with the MI450. OpenAI will have the option to buy up to 160 million shares of AMD, about 10% of the company, depending on development, performance and share price targets. In December 2025, Disney said it would make a $1 billion investment in OpenAI, and signed a three-year licensing deal that will let users generate videos using Sora—OpenAI's short-form AI video platform. More than 200 Disney, Marvel, Star Wars and Pixar characters will be available to OpenAI users. In early 2026, Amazon entered advanced discussions to invest up to $50 billion in OpenAI as part of a potential artificial intelligence partnership. Under the proposed agreement, OpenAI’s models could be integrated into Amazon’s digital assistant Alexa and other internal projects. OpenAI provides LLMs to the Artificial Intelligence Cyber Challenge and to the Advanced Research Projects Agency for Health. In October 2024, The Intercept revealed that OpenAI's tools are considered "essential" for AFRICOM's mission and included in an "Exception to Fair Opportunity" contractual agreement between the United States Department of Defense and Microsoft. In December 2024, OpenAI said it would partner with defense-tech company Anduril to build drone defense technologies for the United States and its allies. In 2025, OpenAI's Chief Product Officer, Kevin Weil, was commissioned lieutenant colonel in the U.S. Army to join Detachment 201 as senior advisor. In June 2025, the U.S. Department of Defense awarded OpenAI a $200 million one-year contract to develop AI tools for military and national security applications. OpenAI announced a new program, OpenAI for Government, to give federal, state, and local governments access to its models, including ChatGPT. Services In February 2019, GPT-2 was announced, which gained attention for its ability to generate human-like text. In 2020, OpenAI announced GPT-3, a language model trained on large internet datasets. GPT-3 is aimed at natural language answering questions, but it can also translate between languages and coherently generate improvised text. It also announced that an associated API, named the API, would form the heart of its first commercial product. Eleven employees left OpenAI, mostly between December 2020 and January 2021, in order to establish Anthropic. In 2021, OpenAI introduced DALL-E, a specialized deep learning model adept at generating complex digital images from textual descriptions, utilizing a variant of the GPT-3 architecture. In December 2022, OpenAI received widespread media coverage after launching a free preview of ChatGPT, its new AI chatbot based on GPT-3.5. According to OpenAI, the preview received over a million signups within the first five days. According to anonymous sources cited by Reuters in December 2022, OpenAI Global, LLC was projecting $200 million of revenue in 2023 and $1 billion in revenue in 2024. After ChatGPT was launched, Google announced a similar chatbot, Bard, amid internal concerns that ChatGPT could threaten Google’s position as a primary source of online information. On February 7, 2023, Microsoft announced that it was building AI technology based on the same foundation as ChatGPT into Microsoft Bing, Edge, Microsoft 365 and other products. On March 14, 2023, OpenAI released GPT-4, both as an API (with a waitlist) and as a feature of ChatGPT Plus. On November 6, 2023, OpenAI launched GPTs, allowing individuals to create customized versions of ChatGPT for specific purposes, further expanding the possibilities of AI applications across various industries. On November 14, 2023, OpenAI announced they temporarily suspended new sign-ups for ChatGPT Plus due to high demand. Access for newer subscribers re-opened a month later on December 13. In December 2024, the company launched the Sora model. It also launched OpenAI o1, an early reasoning model that was internally codenamed strawberry. Additionally, ChatGPT Pro—a $200/month subscription service offering unlimited o1 access and enhanced voice features—was introduced, and preliminary benchmark results for the upcoming OpenAI o3 models were shared. On January 23, 2025, OpenAI released Operator, an AI agent and web automation tool for accessing websites to execute goals defined by users. The feature was only available to Pro users in the United States. OpenAI released deep research agent, nine days later. It scored a 27% accuracy on the benchmark Humanity's Last Exam (HLE). Altman later stated GPT-4.5 would be the last model without full chain-of-thought reasoning. In July 2025, reports indicated that AI models by both OpenAI and Google DeepMind solved mathematics problems at the level of top-performing students in the International Mathematical Olympiad. OpenAI's large language model was able to achieve gold medal-level performance, reflecting significant progress in AI's reasoning abilities. On October 6, 2025, OpenAI unveiled its Agent Builder platform during the company's DevDay event. The platform includes a visual drag-and-drop interface that lets developers and businesses design, test, and deploy agentic workflows with limited coding. On October 21, 2025, OpenAI introduced ChatGPT Atlas, a browser integrating the ChatGPT assistant directly into web navigation, to compete with existing browsers such as Google Chrome and Apple Safari. On December 11, 2025, OpenAI announced GPT-5.2. This model will be better at creating spreadsheets, building presentations, perceiving images, writing code and understanding long context. On January 27, 2026, OpenAI introduced Prism, a LaTeX-native workspace meant to assist scientists to help with research and writing. The platform utilizes GPT-5.2 as a backend to automate the process of drafting for scientific papers, including features for managing citations, complex equation formatting, and real-time collaborative editing. In March 2023, the company was criticized for disclosing particularly few technical details about products like GPT-4, contradicting its initial commitment to openness and making it harder for independent researchers to replicate its work and develop safeguards. OpenAI cited competitiveness and safety concerns to justify this repudiation. OpenAI's former chief scientist Ilya Sutskever argued in 2023 that open-sourcing increasingly capable models was increasingly risky, and that the safety reasons for not open-sourcing the most potent AI models would become "obvious" in a few years. In September 2025, OpenAI published a study on how people use ChatGPT for everyday tasks. The study found that "non-work tasks" (according to an LLM-based classifier) account for more than 72 percent of all ChatGPT usage, with a minority of overall usage related to business productivity. In July 2023, OpenAI launched the superalignment project, aiming within four years to determine how to align future superintelligent systems. OpenAI promised to dedicate 20% of its computing resources to the project, although the team denied receiving anything close to 20%. OpenAI ended the project in May 2024 after its co-leaders Ilya Sutskever and Jan Leike left the company. In August 2025, OpenAI was criticized after thousands of private ChatGPT conversations were inadvertently exposed to public search engines like Google due to an experimental "share with search engines" feature. The opt-in toggle, intended to allow users to make specific chats discoverable, resulted in some discussions including personal details such as names, locations, and intimate topics appearing in search results when users accidentally enabled it while sharing links. OpenAI announced the feature's permanent removal on August 1, 2025, and the company began coordinating with search providers to remove the exposed content, emphasizing that it was not a security breach but a design flaw that heightened privacy risks. CEO Sam Altman acknowledged the issue in a podcast, noting users often treat ChatGPT as a confidant for deeply personal matters, which amplified concerns about AI handling sensitive data. Management In 2018, Musk resigned from his Board of Directors seat, citing "a potential future conflict [of interest]" with his role as CEO of Tesla due to Tesla's AI development for self-driving cars. OpenAI stated that Musk's financial contributions were below $45 million. On March 3, 2023, Reid Hoffman resigned from his board seat, citing a desire to avoid conflicts of interest with his investments in AI companies via Greylock Partners, and his co-founding of the AI startup Inflection AI. Hoffman remained on the board of Microsoft, a major investor in OpenAI. In May 2024, Chief Scientist Ilya Sutskever resigned and was succeeded by Jakub Pachocki. Co-leader Jan Leike also departed amid concerns over safety and trust. OpenAI then signed deals with Reddit, News Corp, Axios, and Vox Media. Paul Nakasone then joined the board of OpenAI. In August 2024, cofounder John Schulman left OpenAI to join Anthropic, and OpenAI's president Greg Brockman took extended leave until November. In September 2024, CTO Mira Murati left the company. In November 2025, Lawrence Summers resigned from the board of directors. Governance and legal issues In May 2023, Sam Altman, Greg Brockman and Ilya Sutskever posted recommendations for the governance of superintelligence. They stated that superintelligence could happen within the next 10 years, allowing a "dramatically more prosperous future" and that "given the possibility of existential risk, we can't just be reactive". They proposed creating an international watchdog organization similar to IAEA to oversee AI systems above a certain capability threshold, suggesting that relatively weak AI systems on the other side should not be overly regulated. They also called for more technical safety research for superintelligences, and asked for more coordination, for example through governments launching a joint project which "many current efforts become part of". In July 2023, the FTC issued a civil investigative demand to OpenAI to investigate whether the company's data security and privacy practices to develop ChatGPT were unfair or harmed consumers (including by reputational harm) in violation of Section 5 of the Federal Trade Commission Act of 1914. These are typically preliminary investigative matters and are nonpublic, but the FTC's document was leaked. In July 2023, the FTC launched an investigation into OpenAI over allegations that the company scraped public data and published false and defamatory information. They asked OpenAI for comprehensive information about its technology and privacy safeguards, as well as any steps taken to prevent the recurrence of situations in which its chatbot generated false and derogatory content about people. The agency also raised concerns about ‘circular’ spending arrangements—for example, Microsoft extending Azure credits to OpenAI while both companies shared engineering talent—and warned that such structures could negatively affect the public. In September 2024, OpenAI's global affairs chief endorsed the UK's "smart" AI regulation during testimony to a House of Lords committee. In February 2025, OpenAI CEO Sam Altman stated that the company is interested in collaborating with the People's Republic of China, despite regulatory restrictions imposed by the U.S. government. This shift comes in response to the growing influence of the Chinese artificial intelligence company DeepSeek, which has disrupted the AI market with open models, including DeepSeek V3 and DeepSeek R1. Following DeepSeek's market emergence, OpenAI enhanced security protocols to protect proprietary development techniques from industrial espionage. Some industry observers noted similarities between DeepSeek's model distillation approach and OpenAI's methodology, though no formal intellectual property claim was filed. According to Oliver Roberts, in March 2025, the United States had 781 state AI bills or laws. OpenAI advocated for preempting state AI laws with federal laws. According to Scott Kohler, OpenAI has opposed California's AI legislation and suggested that the state bill encroaches on a more competent federal government. Public Citizen opposed a federal preemption on AI and pointed to OpenAI's growth and valuation as evidence that existing state laws have not hampered innovation. Before May 2024, OpenAI required departing employees to sign a lifelong non-disparagement agreement forbidding them from criticizing OpenAI and acknowledging the existence of the agreement. Daniel Kokotajlo, a former employee, publicly stated that he forfeited his vested equity in OpenAI in order to leave without signing the agreement. Sam Altman stated that he was unaware of the equity cancellation provision, and that OpenAI never enforced it to cancel any employee's vested equity. However, leaked documents and emails refute this claim. On May 23, 2024, OpenAI sent a memo releasing former employees from the agreement. OpenAI was sued for copyright infringement by authors Sarah Silverman, Matthew Butterick, Paul Tremblay and Mona Awad in July 2023. In September 2023, 17 authors, including George R. R. Martin, John Grisham, Jodi Picoult and Jonathan Franzen, joined the Authors Guild in filing a class action lawsuit against OpenAI, alleging that the company's technology was illegally using their copyrighted work. The New York Times also sued the company in late December 2023. In May 2024 it was revealed that OpenAI had destroyed its Books1 and Books2 training datasets, which were used in the training of GPT-3, and which the Authors Guild believed to have contained over 100,000 copyrighted books. In 2021, OpenAI developed a speech recognition tool called Whisper. OpenAI used it to transcribe more than one million hours of YouTube videos into text for training GPT-4. The automated transcription of YouTube videos raised concerns within OpenAI employees regarding potential violations of YouTube's terms of service, which prohibit the use of videos for applications independent of the platform, as well as any type of automated access to its videos. Despite these concerns, the project proceeded with notable involvement from OpenAI's president, Greg Brockman. The resulting dataset proved instrumental in training GPT-4. In February 2024, The Intercept as well as Raw Story and Alternate Media Inc. filed lawsuit against OpenAI on copyright litigation ground. The lawsuit is said to have charted a new legal strategy for digital-only publishers to sue OpenAI. On April 30, 2024, eight newspapers filed a lawsuit in the Southern District of New York against OpenAI and Microsoft, claiming illegal harvesting of their copyrighted articles. The suing publications included The Mercury News, The Denver Post, The Orange County Register, St. Paul Pioneer Press, Chicago Tribune, Orlando Sentinel, Sun Sentinel, and New York Daily News. In June 2023, a lawsuit claimed that OpenAI scraped 300 billion words online without consent and without registering as a data broker. It was filed in San Francisco, California, by sixteen anonymous plaintiffs. They also claimed that OpenAI and its partner as well as customer Microsoft continued to unlawfully collect and use personal data from millions of consumers worldwide to train artificial intelligence models. On May 22, 2024, OpenAI entered into an agreement with News Corp to integrate news content from The Wall Street Journal, the New York Post, The Times, and The Sunday Times into its AI platform. Meanwhile, other publications like The New York Times chose to sue OpenAI and Microsoft for copyright infringement over the use of their content to train AI models. In November 2024, a coalition of Canadian news outlets, including the Toronto Star, Metroland Media, Postmedia, The Globe and Mail, The Canadian Press and CBC, sued OpenAI for using their news articles to train its software without permission. In October 2024 during a New York Times interview, Suchir Balaji accused OpenAI of violating copyright law in developing its commercial LLMs which he had helped engineer. He was a likely witness in a major copyright trial against the AI company, and was one of several of its current or former employees named in court filings as potentially having documents relevant to the case. On November 26, 2024, Balaji died by suicide. His death prompted the circulation of conspiracy theories alleging that he had been deliberately silenced. California Congressman Ro Khanna endorsed calls for an investigation. On April 24, 2025, Ziff Davis sued OpenAI in Delaware federal court for copyright infringement. Ziff Davis is known for publications such as ZDNet, PCMag, CNET, IGN and Lifehacker. In April 2023, the EU's European Data Protection Board (EDPB) formed a dedicated task force on ChatGPT "to foster cooperation and to exchange information on possible enforcement actions conducted by data protection authorities" based on the "enforcement action undertaken by the Italian data protection authority against OpenAI about the ChatGPT service". In late April 2024 NOYB filed a complaint with the Austrian Datenschutzbehörde against OpenAI for violating the European General Data Protection Regulation. A text created with ChatGPT gave a false date of birth for a living person without giving the individual the option to see the personal data used in the process. A request to correct the mistake was denied. Additionally, neither the recipients of ChatGPT's work nor the sources used, could be made available, OpenAI claimed. OpenAI was criticized for lifting its ban on using ChatGPT for "military and warfare". Up until January 10, 2024, its "usage policies" included a ban on "activity that has high risk of physical harm, including", specifically, "weapons development" and "military and warfare". Its new policies prohibit "[using] our service to harm yourself or others" and to "develop or use weapons". In August 2025, the parents of a 16-year-old boy who died by suicide filed a wrongful death lawsuit against OpenAI (and CEO Sam Altman), alleging that months of conversations with ChatGPT about mental health and methods of self-harm contributed to their son's death and that safeguards were inadequate for minors. OpenAI expressed condolences and said it was strengthening protections (including updated crisis response behavior and parental controls). Coverage described it as a first-of-its-kind wrongful death case targeting the company's chatbot. The complaint was filed in California state court in San Francisco. In November 2025, the Social Media Victims Law Center and Tech Justice Law Project filed seven lawsuits against OpenAI, of which four lawsuits alleged wrongful death. The suits were filed on behalf of Zane Shamblin, 23, of Texas; Amaurie Lacey, 17, of Georgia; Joshua Enneking, 26, of Florida; and Joe Ceccanti, 48, of Oregon, who each committed suicide after prolonged ChatGPT usage. In December 2025, Stein-Erik Soelberg, who was 56 years old at the time, allegedly murdered his mother Suzanne Adams. In the months prior the paranoid, delusional man often discussed his ideas with ChatGPT. Adam's estate then sued OpenAI claiming that the company shared responsibility due to the risk of chatbot psychosis despite the fact that chatbot psychosis is not a real medical diagnosis. OpenAI responded saying they will make ChatGPT safer for users disconnected from reality. See also References Further reading External links |
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Contents Meta Platforms Meta Platforms, Inc. (doing business as Meta) is an American multinational technology company headquartered in Menlo Park, California. Meta owns and operates several prominent social media platforms and communication services, including Facebook, Instagram, WhatsApp, Messenger, Threads and Manus. The company also operates an advertising network for its own sites and third parties; as of 2023[update], advertising accounted for 97.8 percent of its total revenue. Meta has been described as a part of Big Tech, which refers to the largest six tech companies in the United States, Alphabet (Google), Amazon, Apple, Meta (Facebook), Microsoft, and Nvidia, which are also the largest companies in the world by market capitalization. The company was originally established in 2004 as TheFacebook, Inc., and was renamed Facebook, Inc. in 2005. In 2021, it rebranded as Meta Platforms, Inc. to reflect a strategic shift toward developing the metaverse—an interconnected digital ecosystem spanning virtual and augmented reality technologies. In 2023, Meta was ranked 31st on the Forbes Global 2000 list of the world's largest public companies. As of 2022, it was the world's third-largest spender on research and development, with R&D expenses totaling US$35.3 billion. History Facebook filed for an initial public offering (IPO) on January 1, 2012. The preliminary prospectus stated that the company sought to raise $5 billion, had 845 million monthly active users, and a website accruing 2.7 billion likes and comments daily. After the IPO, Zuckerberg would retain 22% of the total shares and 57% of the total voting power in Facebook. Underwriters valued the shares at $38 each, valuing the company at $104 billion, the largest valuation yet for a newly public company. On May 16, one day before the IPO, Facebook announced it would sell 25% more shares than originally planned due to high demand. The IPO raised $16 billion, making it the third-largest in US history (slightly ahead of AT&T Mobility and behind only General Motors and Visa). The stock price left the company with a higher market capitalization than all but a few U.S. corporations—surpassing heavyweights such as Amazon, McDonald's, Disney, and Kraft Foods—and made Zuckerberg's stock worth $19 billion. The New York Times stated that the offering overcame questions about Facebook's difficulties in attracting advertisers to transform the company into a "must-own stock". Jimmy Lee of JPMorgan Chase described it as "the next great blue-chip". Writers at TechCrunch, on the other hand, expressed skepticism, stating, "That's a big multiple to live up to, and Facebook will likely need to add bold new revenue streams to justify the mammoth valuation." Trading in the stock, which began on May 18, was delayed that day due to technical problems with the Nasdaq exchange. The stock struggled to stay above the IPO price for most of the day, forcing underwriters to buy back shares to support the price. At the closing bell, shares were valued at $38.23, only $0.23 above the IPO price and down $3.82 from the opening bell value. The opening was widely described by the financial press as a disappointment. The stock set a new record for trading volume of an IPO. On May 25, 2012, the stock ended its first full week of trading at $31.91, a 16.5% decline. On May 22, 2012, regulators from Wall Street's Financial Industry Regulatory Authority announced that they had begun to investigate whether banks underwriting Facebook had improperly shared information only with select clients rather than the general public. Massachusetts Secretary of State William F. Galvin subpoenaed Morgan Stanley over the same issue. The allegations sparked "fury" among some investors and led to the immediate filing of several lawsuits, one of them a class action suit claiming more than $2.5 billion in losses due to the IPO. Bloomberg estimated that retail investors may have lost approximately $630 million on Facebook stock since its debut. S&P Global Ratings added Facebook to its S&P 500 index on December 21, 2013. On May 2, 2014, Zuckerberg announced that the company would be changing its internal motto from "Move fast and break things" to "Move fast with stable infrastructure". The earlier motto had been described as Zuckerberg's "prime directive to his developers and team" in a 2009 interview in Business Insider, in which he also said, "Unless you are breaking stuff, you are not moving fast enough." In November 2016, Facebook announced the Microsoft Windows client of gaming service Facebook Gameroom, formerly Facebook Games Arcade, at the Unity Technologies developers conference. The client allows Facebook users to play "native" games in addition to its web games. The service was closed in June 2021. Lasso was a short-video sharing app from Facebook similar to TikTok that was launched on iOS and Android in 2018 and was aimed at teenagers. On July 2, 2020, Facebook announced that Lasso would be shutting down on July 10. In 2018, the Oculus lead Jason Rubin sent his 50-page vision document titled "The Metaverse" to Facebook's leadership. In the document, Rubin acknowledged that Facebook's virtual reality business had not caught on as expected, despite the hundreds of millions of dollars spent on content for early adopters. He also urged the company to execute fast and invest heavily in the vision, to shut out HTC, Apple, Google and other competitors in the VR space. Regarding other players' participation in the metaverse vision, he called for the company to build the "metaverse" to prevent their competitors from "being in the VR business in a meaningful way at all". In May 2019, Facebook founded Libra Networks, reportedly to develop their own stablecoin cryptocurrency. Later, it was reported that Libra was being supported by financial companies such as Visa, Mastercard, PayPal and Uber. The consortium of companies was expected to pool in $10 million each to fund the launch of the cryptocurrency coin named Libra. Depending on when it would receive approval from the Swiss Financial Market Supervisory authority to operate as a payments service, the Libra Association had planned to launch a limited format cryptocurrency in 2021. Libra was renamed Diem, before being shut down and sold in January 2022 after backlash from Swiss government regulators and the public. During the COVID-19 pandemic, the use of online services, including Facebook, grew globally. Zuckerberg predicted this would be a "permanent acceleration" that would continue after the pandemic. Facebook hired aggressively, growing from 48,268 employees in March 2020 to more than 87,000 by September 2022. Following a period of intense scrutiny and damaging whistleblower leaks, news started to emerge on October 21, 2021 about Facebook's plan to rebrand the company and change its name. In the Q3 2021 earnings call on October 25, Mark Zuckerberg discussed the ongoing criticism of the company's social services and the way it operates, and pointed to the pivoting efforts to building the metaverse – without mentioning the rebranding and the name change. The metaverse vision and the name change from Facebook, Inc. to Meta Platforms was introduced at Facebook Connect on October 28, 2021. Based on Facebook's PR campaign, the name change reflects the company's shifting long term focus of building the metaverse, a digital extension of the physical world by social media, virtual reality and augmented reality features. "Meta" had been registered as a trademark in the United States in 2018 (after an initial filing in 2015) for marketing, advertising, and computer services, by a Canadian company that provided big data analysis of scientific literature. This company was acquired in 2017 by the Chan Zuckerberg Initiative (CZI), a foundation established by Zuckerberg and his wife, Priscilla Chan, and became one of their projects. Following the rebranding announcement, CZI announced that it had already decided to deprioritize the earlier Meta project, thus it would be transferring its rights to the name to Meta Platforms, and the previous project would end in 2022. Soon after the rebranding, in early February 2022, Meta reported a greater-than-expected decline in profits in the fourth quarter of 2021. It reported no growth in monthly users, and indicated it expected revenue growth to stall. It also expected measures taken by Apple Inc. to protect user privacy to cost it some $10 billion in advertisement revenue, an amount equal to roughly 8% of its revenue for 2021. In meeting with Meta staff the day after earnings were reported, Zuckerberg blamed competition for user attention, particularly from video-based apps such as TikTok. The 27% reduction in the company's share price which occurred in reaction to the news eliminated some $230 billion of value from Meta's market capitalization. Bloomberg described the decline as "an epic rout that, in its sheer scale, is unlike anything Wall Street or Silicon Valley has ever seen". Zuckerberg's net worth fell by as much as $31 billion. Zuckerberg owns 13% of Meta, and the holding makes up the bulk of his wealth. According to published reports by Bloomberg on March 30, 2022, Meta turned over data such as phone numbers, physical addresses, and IP addresses to hackers posing as law enforcement officials using forged documents. The law enforcement requests sometimes included forged signatures of real or fictional officials. When asked about the allegations, a Meta representative said, "We review every data request for legal sufficiency and use advanced systems and processes to validate law enforcement requests and detect abuse." In June 2022, Sheryl Sandberg, the chief operating officer of 14 years, announced she would step down that year. Zuckerberg said that Javier Olivan would replace Sandberg, though in a “more traditional” role. In March 2022, Meta (except Meta-owned WhatsApp) and Instagram were banned in Russia and added to the Russian list of terrorist and extremist organizations for alleged Russophobia and hate speech (up to genocidal calls) amid the ongoing Russian invasion of Ukraine. Meta appealed against the ban, but it was upheld by a Moscow court in June of the same year. Also in March 2022, Meta and Italian eyewear giant Luxottica released Ray-Ban Stories, a series of smartglasses which could play music and take pictures. Meta and Luxottica parent company EssilorLuxottica declined to disclose sales on the line of products as of September 2022, though Meta has expressed satisfaction with its customer feedback. In July 2022, Meta saw its first year-on-year revenue decline when its total revenue slipped by 1% to $28.8bn. Analysts and journalists accredited the loss to its advertising business, which has been limited by Apple's app tracking transparency feature and the number of people who have opted not to be tracked by Meta apps. Zuckerberg also accredited the decline to increasing competition from TikTok. On October 27, 2022, Meta's market value dropped to $268 billion, a loss of around $700 billion compared to 2021, and its shares fell by 24%. It lost its spot among the top 20 US companies by market cap, despite reaching the top 5 in the previous year. In November 2022, Meta laid off 11,000 employees, 13% of its workforce. Zuckerberg said the decision to aggressively increase Meta's investments had been a mistake, as he had wrongly predicted that the surge in e-commerce would last beyond the COVID-19 pandemic. He also attributed the decline to increased competition, a global economic downturn and "ads signal loss". Plans to lay off a further 10,000 employees began in April 2023. The layoffs were part of a general downturn in the technology industry, alongside layoffs by companies including Google, Amazon, Tesla, Snap, Twitter and Lyft. Starting from 2022, Meta scrambled to catch up to other tech companies in adopting specialized artificial intelligence hardware and software. It had been using less expensive CPUs instead of GPUs for AI work, but that approach turned out to be less efficient. The company gifted the Inter-university Consortium for Political and Social Research $1.3 million to finance the Social Media Archive's aim to make their data available to social science research. In 2023, Ireland's Data Protection Commissioner imposed a record EUR 1.2 billion fine on Meta for transferring data from Europe to the United States without adequate protections for EU citizens.: 250 In March 2023, Meta announced a new round of layoffs that would cut 10,000 employees and close 5,000 open positions to make the company more efficient. Meta revenue surpassed analyst expectations for the first quarter of 2023 after announcing that it was increasing its focus on AI. On July 6, Meta launched a new app, Threads, a competitor to Twitter. Meta announced its artificial intelligence model Llama 2 in July 2023, available for commercial use via partnerships with major cloud providers like Microsoft. It was the first project to be unveiled out of Meta's generative AI group after it was set up in February. It would not charge access or usage but instead operate with an open-source model to allow Meta to ascertain what improvements need to be made. Prior to this announcement, Meta said it had no plans to release Llama 2 for commercial use. An earlier version of Llama was released to academics. In August 2023, Meta announced its permanent removal of news content from Facebook and Instagram in Canada due to the Online News Act, which requires Canadian news outlets to be compensated for content shared on its platform. The Online News Act was in effect by year-end, but Meta will not participate in the regulatory process. In October 2023, Zuckerberg said that AI would be Meta's biggest investment area in 2024. Meta finished 2023 as one of the best-performing technology stocks of the year, with its share price up 150 percent. Its stock reached an all-time high in January 2024, bringing Meta within 2% of achieving $1 trillion market capitalization. In November 2023 Meta Platforms launched an ad-free service in Europe, allowing subscribers to opt-out of personal data being collected for targeted advertising. A group of 28 European organizations, including Max Schrems' advocacy group NOYB, the Irish Council for Civil Liberties, Wikimedia Europe, and the Electronic Privacy Information Center, signed a 2024 letter to the European Data Protection Board (EDPB) expressing concern that this subscriber model would undermine privacy protections, specifically GDPR data protection standards. Meta removed the Facebook and Instagram accounts of Iran's Supreme Leader Ali Khamenei in February 2024, citing repeated violations of its Dangerous Organizations & Individuals policy. As of March, Meta was under investigation by the FDA for alleged use of their social media platforms to sell illegal drugs. On 16 May 2024, the European Commission began an investigation into Meta over concerns related to child safety. In May 2023, Iraqi social media influencer Esaa Ahmed-Adnan encountered a troubling issue when Instagram removed his posts, citing false copyright violations despite his content being original and free from copyrighted material. He discovered that extortionists were behind these takedowns, offering to restore his content for $3,000 or provide ongoing protection for $1,000 per month. This scam, exploiting Meta’s rights management tools, became widespread in the Middle East, revealing a gap in Meta’s enforcement in developing regions. An Iraqi nonprofit Tech4Peace’s founder, Aws al-Saadi helped Ahmed-Adnan and others, but the restoration process was slow, leading to significant financial losses for many victims, including prominent figures like Ammar al-Hakim. This situation highlighted Meta’s challenges in balancing global growth with effective content moderation and protection. On 16 September 2024, Meta announced it had banned Russian state media outlets from its platforms worldwide due to concerns about "foreign interference activity." This decision followed allegations that RT and its employees funneled $10 million through shell companies to secretly fund influence campaigns on various social media channels. Meta's actions were part of a broader effort to counter Russian covert influence operations, which had intensified since the invasion. At its 2024 Connect conference, Meta presented Orion, its first pair of augmented reality glasses. Though Orion was originally intended to be sold to consumers, the manufacturing process turned out to be too complex and expensive. Instead, the company pivoted to producing a small number of the glasses to be used internally. On 4 October 2024, Meta announced about its new AI model called Movie Gen, capable of generating realistic video and audio clips based on user prompts. Meta stated it would not release Movie Gen for open development, preferring to collaborate directly with content creators and integrate it into its products by the following year. The model was built using a combination of licensed and publicly available datasets. On October 31, 2024, ProPublica published an investigation into deceptive political advertisement scams that sometimes use hundreds of hijacked profiles and facebook pages run by organized networks of scammers. The authors cited spotty enforcement by Meta as a major reason for the extent of the issue. In November 2024, TechCrunch reported that Meta were considering building a $10bn global underwater cable spanning 25,000 miles. In the same month, Meta closed down 2 million accounts on Facebook and Instagram that were linked to scam centers in Myanmar, Laos, Cambodia, the Philippines, and the United Arab Emirates doing pig butchering scams. In December 2024, Meta announced that, beginning February 2025, they would require advertisers to run ads about financial services in Australia to verify information about who are the beneficiary and the payer in a bid to regulate scams. On December 4, 2024, Meta announced it will invest US$10 billion for its largest AI data center in northeast Louisiana, powered by natural gas facilities. On the 11th of that month, Meta experienced a global outage, impacting accounts on all of their social media and messaging applications. Outage reports from DownDetector reached 70,000+ and 100,000+ within minutes for Instagram and Facebook, respectively. In January 2025, Meta announced plans to roll back its diversity, equity, and inclusion (DEI) initiatives, citing shifts in the "legal and policy landscape" in the United States following the 2024 presidential election. The decision followed reports that CEO Mark Zuckerberg sought to align the company more closely with the incoming Trump administration, including changes to content moderation policies and executive leadership. The new content moderation policies continued to bar insults about a person's intellect or mental illness, but made an exception to allow calling LGBTQ people mentally ill because they are gay or transgender. Later that month, Meta agreed to pay $25 million to settle a 2021 lawsuit brought by Donald Trump for suspending his social media accounts after the January 6 riots. Changes to Meta's moderation policies were controversial among its oversight board, with a significant divide in opinion between the board's US conservatives and its global members. In June 2025, Meta Platforms Inc. has decided to make a multibillion-dollar investment into artificial intelligence startup Scale AI. The financing could exceed $10 billion in value which would make it one of the largest private company funding events of all time. In October 2025, it was announced that Meta would be laying off 600 employees in the artificial intelligence unit to perform better and simpler. They referred to their AI unit as "bloated" and are seeking to trim down the department. This mass layoff is going to impact Meta’s AI infrastructure units, Fundamental Artificial Intelligence Research unit (FAIR) and other product-related positions. Mergers and acquisitions Meta has acquired multiple companies (often identified as talent acquisitions). One of its first major acquisitions was in April 2012, when it acquired Instagram for approximately US$1 billion in cash and stock. In October 2013, Facebook, Inc. acquired Onavo, an Israeli mobile web analytics company. In February 2014, Facebook, Inc. announced it would buy mobile messaging company WhatsApp for US$19 billion in cash and stock. The acquisition was completed on October 6. Later that year, Facebook bought Oculus VR for $2.3 billion in cash and stock, which released its first consumer virtual reality headset in 2016. In late November 2019, Facebook, Inc. announced the acquisition of the game developer Beat Games, responsible for developing one of that year's most popular VR games, Beat Saber. In Late 2022, after Facebook Inc rebranded to Meta Platforms Inc, Oculus was rebranded to Meta Quest. In May 2020, Facebook, Inc. announced it had acquired Giphy for a reported cash price of $400 million. It will be integrated with the Instagram team. However, in August 2021, UK's Competition and Markets Authority (CMA) stated that Facebook, Inc. might have to sell Giphy, after an investigation found that the deal between the two companies would harm competition in display advertising market. Facebook, Inc. was fined $70 million by CMA for deliberately failing to report all information regarding the acquisition and the ongoing antitrust investigation. In October 2022, the CMA ruled for a second time that Meta be required to divest Giphy, stating that Meta already controls half of the advertising in the UK. Meta agreed to the sale, though it stated that it disagrees with the decision itself. In May 2023, Giphy was divested to Shutterstock for $53 million. In November 2020, Facebook, Inc. announced that it planned to purchase the customer-service platform and chatbot specialist startup Kustomer to promote companies to use their platform for business. It has been reported that Kustomer valued at slightly over $1 billion. The deal was closed in February 2022 after regulatory approval. In September 2022, Meta acquired Lofelt, a Berlin-based haptic tech startup. In December 2025, it was announced Meta had acquired the AI-wearables startup, Limitless. In the same month, they also acquired another AI startup, Manus AI, for $2 billion. Manus announced in December that its platform had achieved $100mm in recurring revenue just 8 months after its launch and Meta said it will scale the platform to many other businesses. In January 2026, it was announced Meta proposed acquisition of Manus was undergoing preliminary scrutiny by Chinese regulators. The examination concerns the cross-border transfer of artificial intelligence technology developed in China. Lobbying In 2020, Facebook, Inc. spent $19.7 million on lobbying, hiring 79 lobbyists. In 2019, it had spent $16.7 million on lobbying and had a team of 71 lobbyists, up from $12.6 million and 51 lobbyists in 2018. Facebook was the largest spender of lobbying money among the Big Tech companies in 2020. The lobbying team includes top congressional aide John Branscome, who was hired in September 2021, to help the company fend off threats from Democratic lawmakers and the Biden administration. In December 2024, Meta donated $1 million to the inauguration fund for then-President-elect Donald Trump. In 2025, Meta was listed among the donors funding the construction of the White House State Ballroom. Partnerships February 2026, Meta announced a long-term partnership with Nvidia. Censorship In August 2024, Mark Zuckerberg sent a letter to Jim Jordan indicating that during the COVID-19 pandemic the Biden administration repeatedly asked Meta to limit certain COVID-19 content, including humor and satire, on Facebook and Instagram. In 2016 Meta hired Jordana Cutler, formerly an employee at the Israeli Embassy to the United States, as its policy chief for Israel and the Jewish Diaspora. In this role, Cutler pushed for the censorship of accounts belonging to Students for Justice in Palestine chapters in the United States. Critics have said that Cutler's position gives the Israeli government an undue influence over Meta policy, and that few countries have such high levels of contact with Meta policymakers. Following the election of Donald Trump in 2025, various sources noted possible censorship related to the Democratic Party on Instagram and other Meta platforms. In February 2025, a Meta rep flagged journalist Gil Duran's article and other "critiques of tech industry figures" as spam or sensitive content, limiting their reach. In March 2025, Meta attempted to block former employee Sarah Wynn-Williams from promoting or further distributing her memoir, Careless People, that includes allegations of unaddressed sexual harassment in the workplace by senior executives. The New York Times reports that the arbitration is among Meta's most forcible attempts to repudiate a former employee's account of workplace dynamics. Publisher Macmillan reacted to the ruling by the Emergency International Arbitral Tribunal by stating that it will ignore its provisions. As of 15 March 2025[update], hardback and digital versions of Careless People were being offered for sale by major online retailers. From October 2025, Meta began removing and restricting access for accounts related to LGBTQ, reproductive health and abortion information pages on its platforms. Martha Dimitratou, executive director of Repro Uncensored, called Meta's shadow-banning of these issues "One of the biggest waves of censorship we are seeing". Disinformation concerns Since its inception, Meta has been accused of being a host for fake news and misinformation. In the wake of the 2016 United States presidential election, Zuckerberg began to take steps to eliminate the prevalence of fake news, as the platform had been criticized for its potential influence on the outcome of the election. The company initially partnered with ABC News, the Associated Press, FactCheck.org, Snopes and PolitiFact for its fact-checking initiative; as of 2018, it had over 40 fact-checking partners across the world, including The Weekly Standard. A May 2017 review by The Guardian found that the platform's fact-checking initiatives of partnering with third-party fact-checkers and publicly flagging fake news were regularly ineffective, and appeared to be having minimal impact in some cases. In 2018, journalists working as fact-checkers for the company criticized the partnership, stating that it had produced minimal results and that the company had ignored their concerns. In 2024 Meta's decision to continue to disseminate a falsified video of US president Joe Biden, even after it had been proven to be fake, attracted criticism and concern. In January 2025, Meta ended its use of third-party fact-checkers in favor of a user-run community notes system similar to the one used on X. While Zuckerberg supported these changes, saying that the amount of censorship on the platform was excessive, the decision received criticism by fact-checking institutions, stating that the changes would make it more difficult for users to identify misinformation. Meta also faced criticism for weakening its policies on hate speech that were designed to protect minorities and LGBTQ+ individuals from bullying and discrimination. While moving its content review teams from California to Texas, Meta changed their hateful conduct policy to eliminate restrictions on anti-LGBT and anti-immigrant hate speech, as well as explicitly allowing users to accuse LGBT people of being mentally ill or abnormal based on their sexual orientation or gender identity. In January 2025, Meta faced significant criticism for its role in removing LGBTQ+ content from its platforms, amid its broader efforts to address anti-LGBTQ+ hate speech. The removal of LGBTQ+ themes was noted as part of the wider crackdown on content deemed to violate its community guidelines. Meta's content moderation policies, which were designed to combat harmful speech and protect users from discrimination, inadvertently led to the removal or restriction of LGBTQ+ content, particularly posts highlighting LGBTQ+ identities, support, or political issues. According to reports, LGBTQ+ posts, including those that simply celebrated pride or advocated for LGBTQ+ rights, were flagged and removed for reasons that some critics argue were vague or inconsistently applied. Many LGBTQ+ activists and users on Meta's platforms expressed concern that such actions stifled visibility and expression, potentially isolating LGBTQ+ individuals and communities, especially in spaces that were historically important for outreach and support. Lawsuits Numerous lawsuits have been filed against the company, both when it was known as Facebook, Inc., and as Meta Platforms. In March 2020, the Office of the Australian Information Commissioner (OAIC) sued Facebook, for significant and persistent infringements of the rule on privacy involving the Cambridge Analytica fiasco. Every violation of the Privacy Act is subject to a theoretical cumulative liability of $1.7 million. The OAIC estimated that a total of 311,127 Australians had been exposed. On December 8, 2020, the U.S. Federal Trade Commission and 46 states (excluding Alabama, Georgia, South Carolina, and South Dakota), the District of Columbia and the territory of Guam, launched Federal Trade Commission v. Facebook as an antitrust lawsuit against Facebook. The lawsuit concerns Facebook's acquisition of two competitors—Instagram and WhatsApp—and the ensuing monopolistic situation. FTC alleges that Facebook holds monopolistic power in the U.S. social networking market and seeks to force the company to divest from Instagram and WhatsApp to break up the conglomerate. William Kovacic, a former chairman of the Federal Trade Commission, argued the case will be difficult to win as it would require the government to create a counterfactual argument of an internet where the Facebook-WhatsApp-Instagram entity did not exist, and prove that harmed competition or consumers. In November 2025, it was ruled that Meta did not violate antitrust laws and holds no monopoly in the market. On December 24, 2021, a court in Russia fined Meta for $27 million after the company declined to remove unspecified banned content. The fine was reportedly tied to the company's annual revenue in the country. In May 2022, a lawsuit was filed in Kenya against Meta and its local outsourcing company Sama. Allegedly, Meta has poor working conditions in Kenya for workers moderating Facebook posts. According to the lawsuit, 260 screeners were declared redundant with confusing reasoning. The lawsuit seeks financial compensation and an order that outsourced moderators be given the same health benefits and pay scale as Meta employees. In June 2022, 8 lawsuits were filed across the U.S. over the allege that excessive exposure to platforms including Facebook and Instagram has led to attempted or actual suicides, eating disorders and sleeplessness, among other issues. The litigation follows a former Facebook employee's testimony in Congress that the company refused to take responsibility. The company noted that tools have been developed for parents to keep track of their children's activity on Instagram and set time limits, in addition to Meta's "Take a break" reminders. In addition, the company is providing resources specific to eating disorders as well as developing AI to prevent children under the age of 13 signing up for Facebook or Instagram. In June 2022, Meta settled a lawsuit with the US Department of Justice. The lawsuit, which was filed in 2019, alleged that the company enabled housing discrimination through targeted advertising, as it allowed homeowners and landlords to run housing ads excluding people based on sex, race, religion, and other characteristics. The U.S. Department of Justice stated that this was in violation of the Fair Housing Act. Meta was handed a penalty of $115,054 and given until December 31, 2022, to shadow the algorithm tool. In January 2023, Meta was fined €390 million for violations of the European Union General Data Protection Regulation. In May 2023, the European Data Protection Board fined Meta a record €1.2 billion for breaching European Union data privacy laws by transferring personal data of Facebook users to servers in the U.S. In July 2024, Meta agreed to pay the state of Texas US$1.4 billion to settle a lawsuit brought by Texas Attorney General Ken Paxton accusing the company of collecting users' biometric data without consent, setting a record for the largest privacy-related settlement ever obtained by a state attorney general. In October 2024, Meta Platforms faced lawsuits in Japan from 30 plaintiffs who claimed they were defrauded by fake investment ads on Facebook and Instagram, featuring false celebrity endorsements. The plaintiffs are seeking approximately $2.8 million in damages. In April 2025, the Kenyan High Court ruled that a US$2.4 billion lawsuit in which three plaintiffs claim that Facebook inflamed civil violence in Ethiopia in 2021 could proceed. In April 2025, Meta was fined €200 million ($230 million) for breaking the Digital Markets Act, by imposing a “consent or pay” system that forces users to either allow their personal data to be used to target advertisements, or pay a subscription fee for advertising-free versions of Facebook and Instagram. In late April 2025, a case was filed against Meta in Ghana over the alleged psychological distress experienced by content moderators employed to take down disturbing social media content including depictions of murders, extreme violence and child sexual abuse. Meta moved the moderation service to the Ghanaian capital of Accra after legal issues in the previous location Kenya. The new moderation company is Teleperformance, a multinational corporation with a history of worker's rights violation. Reports suggests the conditions are worse here than in the previous Kenyan location, with many workers afraid of speaking out due to fear of returning to conflict zones. Workers reported developing mental illnesses, attempted suicides, and low pay. In 26 January 2026, a New Mexico state court case was filed, suggesting that Mark Zuckerberg approved allowing minors to access artificial intelligence chatbot companions that safety staffers warned were capable of sexual interactions. In 2020, the company UReputation, which had been involved in several cases concerning the management of digital armies[clarification needed], filed a lawsuit against Facebook, accusing it of unlawfully transmitting personal data to third parties. Legal actions were initiated in Tunisia, France, and the United States. In 2025, the United States District court for the Northern District of Georgia approved a discovery procedure, allowing UReputation to access documents and evidence held by Meta. Structure Meta's key management consists of: As of October 2022[update], Meta had 83,553 employees worldwide. As of June 2024[update], Meta's board consisted of the following directors; Meta Platforms is mainly owned by institutional investors, who hold around 80% of all shares. Insiders control the majority of voting shares. The three largest individual investors in 2024 were Mark Zuckerberg, Sheryl Sandberg and Christopher K. Cox. The largest shareholders in late 2024/early 2025 were: Roger McNamee, an early Facebook investor and Zuckerberg's former mentor, said Facebook had "the most centralized decision-making structure I have ever encountered in a large company". Facebook co-founder Chris Hughes has stated that chief executive officer Mark Zuckerberg has too much power, that the company is now a monopoly, and that, as a result, it should be split into multiple smaller companies. In an op-ed in The New York Times, Hughes said he was concerned that Zuckerberg had surrounded himself with a team that did not challenge him, and that it is the U.S. government's job to hold him accountable and curb his "unchecked power". He also said that "Mark's power is unprecedented and un-American." Several U.S. politicians agreed with Hughes. European Union Commissioner for Competition Margrethe Vestager stated that splitting Facebook should be done only as "a remedy of the very last resort", and that it would not solve Facebook's underlying problems. Revenue Facebook ranked No. 34 in the 2020 Fortune 500 list of the largest United States corporations by revenue, with almost $86 billion in revenue most of it coming from advertising. One analysis of 2017 data determined that the company earned US$20.21 per user from advertising. According to New York, since its rebranding, Meta has reportedly lost $500 billion as a result of new privacy measures put in place by companies such as Apple and Google which prevents Meta from gathering users' data. In February 2015, Facebook announced it had reached two million active advertisers, with most of the gain coming from small businesses. An active advertiser was defined as an entity that had advertised on the Facebook platform in the last 28 days. In March 2016, Facebook announced it had reached three million active advertisers with more than 70% from outside the United States. Prices for advertising follow a variable pricing model based on auctioning ad placements, and potential engagement levels of the advertisement itself. Similar to other online advertising platforms like Google and Twitter, targeting of advertisements is one of the chief merits of digital advertising compared to traditional media. Marketing on Meta is employed through two methods based on the viewing habits, likes and shares, and purchasing data of the audience, namely targeted audiences and "look alike" audiences. The U.S. IRS challenged the valuation Facebook used when it transferred IP from the U.S. to Facebook Ireland (now Meta Platforms Ireland) in 2010 (which Facebook Ireland then revalued higher before charging out), as it was building its double Irish tax structure. The case is ongoing and Meta faces a potential fine of $3–5bn. The U.S. Tax Cuts and Jobs Act of 2017 changed Facebook's global tax calculations. Meta Platforms Ireland is subject to the U.S. GILTI tax of 10.5% on global intangible profits (i.e. Irish profits). On the basis that Meta Platforms Ireland Limited is paying some tax, the effective minimum US tax for Facebook Ireland will be circa 11%. In contrast, Meta Platforms Inc. would incur a special IP tax rate of 13.125% (the FDII rate) if its Irish business relocated to the U.S. Tax relief in the U.S. (21% vs. Irish at the GILTI rate) and accelerated capital expensing, would make this effective U.S. rate around 12%. The insignificance of the U.S./Irish tax difference was demonstrated when Facebook moved 1.5bn non-EU accounts to the U.S. to limit exposure to GDPR. Facilities Users outside of the U.S. and Canada contract with Meta's Irish subsidiary, Meta Platforms Ireland Limited (formerly Facebook Ireland Limited), allowing Meta to avoid US taxes for all users in Europe, Asia, Australia, Africa and South America. Meta is making use of the Double Irish arrangement which allows it to pay 2–3% corporation tax on all international revenue. In 2010, Facebook opened its fourth office, in Hyderabad, India, which houses online advertising and developer support teams and provides support to users and advertisers. In India, Meta is registered as Facebook India Online Services Pvt Ltd. It also has offices or planned sites in Chittagong, Bangladesh; Dublin, Ireland; and Austin, Texas, among other cities. Facebook opened its London headquarters in 2017 in Fitzrovia in central London. Facebook opened an office in Cambridge, Massachusetts in 2018. The offices were initially home to the "Connectivity Lab", a group focused on bringing Internet access to those who do not have access to the Internet. In April 2019, Facebook opened its Taiwan headquarters in Taipei. In March 2022, Meta opened new regional headquarters in Dubai. In September 2023, it was reported that Meta had paid £149m to British Land to break the lease on Triton Square London office. Meta reportedly had another 18 years left on its lease on the site. As of 2023, Facebook operated 21 data centers. It committed to purchase 100% renewable energy and to reduce its greenhouse gas emissions 75% by 2020. Its data center technologies include Fabric Aggregator, a distributed network system that accommodates larger regions and varied traffic patterns. Reception US Representative Alexandria Ocasio-Cortez responded in a tweet to Zuckerberg's announcement about Meta, saying: "Meta as in 'we are a cancer to democracy metastasizing into a global surveillance and propaganda machine for boosting authoritarian regimes and destroying civil society ... for profit!'" Ex-Facebook employee Frances Haugen and whistleblower behind the Facebook Papers responded to the rebranding efforts by expressing doubts about the company's ability to improve while led by Mark Zuckerberg, and urged the chief executive officer to resign. In November 2021, a video published by Inspired by Iceland went viral, in which a Zuckerberg look-alike promoted the Icelandverse, a place of "enhanced actual reality without silly looking headsets". In a December 2021 interview, SpaceX and Tesla chief executive officer Elon Musk said he could not see a compelling use-case for the VR-driven metaverse, adding: "I don't see someone strapping a frigging screen to their face all day." In January 2022, Louise Eccles of The Sunday Times logged into the metaverse with the intention of making a video guide. She wrote: Initially, my experience with the Oculus went well. I attended work meetings as an avatar and tried an exercise class set in the streets of Paris. The headset enabled me to feel the thrill of carving down mountains on a snowboard and the adrenaline rush of climbing a mountain without ropes. Yet switching to the social apps, where you mingle with strangers also using VR headsets, it was at times predatory and vile. Eccles described being sexually harassed by another user, as well as "accents from all over the world, American, Indian, English, Australian, using racist, sexist, homophobic and transphobic language". She also encountered users as young as 7 years old on the platform, despite Oculus headsets being intended for users over 13. See also References External links 37°29′06″N 122°08′54″W / 37.48500°N 122.14833°W / 37.48500; -122.14833 |
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[SOURCE: https://en.wikipedia.org/wiki/Python_(programming_language)#cite_ref-Confusion-regarding-a-rule-in-the-Zen-of-Python_71-0] | [TOKENS: 4314] |
Contents Python (programming language) Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language. Python 3.0, released in 2008, was a major revision and not completely backward-compatible with earlier versions. Beginning with Python 3.5, capabilities and keywords for typing were added to the language, allowing optional static typing. As of 2026[update], the Python Software Foundation supports Python 3.10, 3.11, 3.12, 3.13, and 3.14, following the project's annual release cycle and five-year support policy. Python 3.15 is currently in the alpha development phase, and the stable release is expected to come out in October 2026. Earlier versions in the 3.x series have reached end-of-life and no longer receive security updates. Python has gained widespread use in the machine learning community. It is widely taught as an introductory programming language. Since 2003, Python has consistently ranked in the top ten of the most popular programming languages in the TIOBE Programming Community Index, which ranks based on searches in 24 platforms. History Python was conceived in the late 1980s by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands. It was designed as a successor to the ABC programming language, which was inspired by SETL, capable of exception handling and interfacing with the Amoeba operating system. Python implementation began in December 1989. Van Rossum first released it in 1991 as Python 0.9.0. Van Rossum assumed sole responsibility for the project, as the lead developer, until 12 July 2018, when he announced his "permanent vacation" from responsibilities as Python's "benevolent dictator for life" (BDFL); this title was bestowed on him by the Python community to reflect his long-term commitment as the project's chief decision-maker. (He has since come out of retirement and is self-titled "BDFL-emeritus".) In January 2019, active Python core developers elected a five-member Steering Council to lead the project. The name Python derives from the British comedy series Monty Python's Flying Circus. (See § Naming.) Python 2.0 was released on 16 October 2000, featuring many new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support. Python 2.7's end-of-life was initially set for 2015, and then postponed to 2020 out of concern that a large body of existing code could not easily be forward-ported to Python 3. It no longer receives security patches or updates. While Python 2.7 and older versions are officially unsupported, a different unofficial Python implementation, PyPy, continues to support Python 2, i.e., "2.7.18+" (plus 3.11), with the plus signifying (at least some) "backported security updates". Python 3.0 was released on 3 December 2008, and was a major revision and not completely backward-compatible with earlier versions, with some new semantics and changed syntax. Python 2.7.18, released in 2020, was the last release of Python 2. Several releases in the Python 3.x series have added new syntax to the language, and made a few (considered very minor) backward-incompatible changes. As of January 2026[update], Python 3.14.3 is the latest stable release. All older 3.x versions had a security update down to Python 3.9.24 then again with 3.9.25, the final version in 3.9 series. Python 3.10 is, since November 2025, the oldest supported branch. Python 3.15 has an alpha released, and Android has an official downloadable executable available for Python 3.14. Releases receive two years of full support followed by three years of security support. Design philosophy and features Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of their features support functional programming and aspect-oriented programming – including metaprogramming and metaobjects. Many other paradigms are supported via extensions, including design by contract and logic programming. Python is often referred to as a 'glue language' because it is purposely designed to be able to integrate components written in other languages. Python uses dynamic typing and a combination of reference counting and a cycle-detecting garbage collector for memory management. It uses dynamic name resolution (late binding), which binds method and variable names during program execution. Python's design offers some support for functional programming in the "Lisp tradition". It has filter, map, and reduce functions; list comprehensions, dictionaries, sets, and generator expressions. The standard library has two modules (itertools and functools) that implement functional tools borrowed from Haskell and Standard ML. Python's core philosophy is summarized in the Zen of Python (PEP 20) written by Tim Peters, which includes aphorisms such as these: However, Python has received criticism for violating these principles and adding unnecessary language bloat. Responses to these criticisms note that the Zen of Python is a guideline rather than a rule. The addition of some new features had been controversial: Guido van Rossum resigned as Benevolent Dictator for Life after conflict about adding the assignment expression operator in Python 3.8. Nevertheless, rather than building all functionality into its core, Python was designed to be highly extensible via modules. This compact modularity has made it particularly popular as a means of adding programmable interfaces to existing applications. Van Rossum's vision of a small core language with a large standard library and easily extensible interpreter stemmed from his frustrations with ABC, which represented the opposite approach. Python claims to strive for a simpler, less-cluttered syntax and grammar, while giving developers a choice in their coding methodology. Python lacks do .. while loops, which Rossum considered harmful. In contrast to Perl's motto "there is more than one way to do it", Python advocates an approach where "there should be one – and preferably only one – obvious way to do it". In practice, however, Python provides many ways to achieve a given goal. There are at least three ways to format a string literal, with no certainty as to which one a programmer should use. Alex Martelli is a Fellow at the Python Software Foundation and Python book author; he wrote that "To describe something as 'clever' is not considered a compliment in the Python culture." Python's developers typically prioritize readability over performance. For example, they reject patches to non-critical parts of the CPython reference implementation that would offer increases in speed that do not justify the cost of clarity and readability.[failed verification] Execution speed can be improved by moving speed-critical functions to extension modules written in languages such as C, or by using a just-in-time compiler like PyPy. Also, it is possible to transpile to other languages. However, this approach either fails to achieve the expected speed-up, since Python is a very dynamic language, or only a restricted subset of Python is compiled (with potential minor semantic changes). Python is meant to be a fun language to use. This goal is reflected in the name – a tribute to the British comedy group Monty Python – and in playful approaches to some tutorials and reference materials. For instance, some code examples use the terms "spam" and "eggs" (in reference to a Monty Python sketch), rather than the typical terms "foo" and "bar". A common neologism in the Python community is pythonic, which has a broad range of meanings related to program style: Pythonic code may use Python idioms well; be natural or show fluency in the language; or conform with Python's minimalist philosophy and emphasis on readability. Syntax and semantics Python is meant to be an easily readable language. Its formatting is visually uncluttered and often uses English keywords where other languages use punctuation. Unlike many other languages, it does not use curly brackets to delimit blocks, and semicolons after statements are allowed but rarely used. It has fewer syntactic exceptions and special cases than C or Pascal. Python uses whitespace indentation, rather than curly brackets or keywords, to delimit blocks. An increase in indentation comes after certain statements; a decrease in indentation signifies the end of the current block. Thus, the program's visual structure accurately represents its semantic structure. This feature is sometimes termed the off-side rule. Some other languages use indentation this way; but in most, indentation has no semantic meaning. The recommended indent size is four spaces. Python's statements include the following: The assignment statement (=) binds a name as a reference to a separate, dynamically allocated object. Variables may subsequently be rebound at any time to any object. In Python, a variable name is a generic reference holder without a fixed data type; however, it always refers to some object with a type. This is called dynamic typing—in contrast to statically-typed languages, where each variable may contain only a value of a certain type. Python does not support tail call optimization or first-class continuations; according to Van Rossum, the language never will. However, better support for coroutine-like functionality is provided by extending Python's generators. Before 2.5, generators were lazy iterators; data was passed unidirectionally out of the generator. From Python 2.5 on, it is possible to pass data back into a generator function; and from version 3.3, data can be passed through multiple stack levels. Python's expressions include the following: In Python, a distinction between expressions and statements is rigidly enforced, in contrast to languages such as Common Lisp, Scheme, or Ruby. This distinction leads to duplicating some functionality, for example: A statement cannot be part of an expression; because of this restriction, expressions such as list and dict comprehensions (and lambda expressions) cannot contain statements. As a particular case, an assignment statement such as a = 1 cannot be part of the conditional expression of a conditional statement. Python uses duck typing, and it has typed objects but untyped variable names. Type constraints are not checked at definition time; rather, operations on an object may fail at usage time, indicating that the object is not of an appropriate type. Despite being dynamically typed, Python is strongly typed, forbidding operations that are poorly defined (e.g., adding a number and a string) rather than quietly attempting to interpret them. Python allows programmers to define their own types using classes, most often for object-oriented programming. New instances of classes are constructed by calling the class, for example, SpamClass() or EggsClass()); the classes are instances of the metaclass type (which is an instance of itself), thereby allowing metaprogramming and reflection. Before version 3.0, Python had two kinds of classes, both using the same syntax: old-style and new-style. Current Python versions support the semantics of only the new style. Python supports optional type annotations. These annotations are not enforced by the language, but may be used by external tools such as mypy to catch errors. Python includes a module typing including several type names for type annotations. Also, mypy supports a Python compiler called mypyc, which leverages type annotations for optimization. 1.33333 frozenset() Python includes conventional symbols for arithmetic operators (+, -, *, /), the floor-division operator //, and the modulo operator %. (With the modulo operator, a remainder can be negative, e.g., 4 % -3 == -2.) Also, Python offers the ** symbol for exponentiation, e.g. 5**3 == 125 and 9**0.5 == 3.0. Also, it offers the matrix‑multiplication operator @ . These operators work as in traditional mathematics; with the same precedence rules, the infix operators + and - can also be unary, to represent positive and negative numbers respectively. Division between integers produces floating-point results. The behavior of division has changed significantly over time: In Python terms, the / operator represents true division (or simply division), while the // operator represents floor division. Before version 3.0, the / operator represents classic division. Rounding towards negative infinity, though a different method than in most languages, adds consistency to Python. For instance, this rounding implies that the equation (a + b)//b == a//b + 1 is always true. Also, the rounding implies that the equation b*(a//b) + a%b == a is valid for both positive and negative values of a. As expected, the result of a%b lies in the half-open interval [0, b), where b is a positive integer; however, maintaining the validity of the equation requires that the result must lie in the interval (b, 0] when b is negative. Python provides a round function for rounding a float to the nearest integer. For tie-breaking, Python 3 uses the round to even method: round(1.5) and round(2.5) both produce 2. Python versions before 3 used the round-away-from-zero method: round(0.5) is 1.0, and round(-0.5) is −1.0. Python allows Boolean expressions that contain multiple equality relations to be consistent with general usage in mathematics. For example, the expression a < b < c tests whether a is less than b and b is less than c. C-derived languages interpret this expression differently: in C, the expression would first evaluate a < b, resulting in 0 or 1, and that result would then be compared with c. Python uses arbitrary-precision arithmetic for all integer operations. The Decimal type/class in the decimal module provides decimal floating-point numbers to a pre-defined arbitrary precision with several rounding modes. The Fraction class in the fractions module provides arbitrary precision for rational numbers. Due to Python's extensive mathematics library and the third-party library NumPy, the language is frequently used for scientific scripting in tasks such as numerical data processing and manipulation. Functions are created in Python by using the def keyword. A function is defined similarly to how it is called, by first providing the function name and then the required parameters. Here is an example of a function that prints its inputs: To assign a default value to a function parameter in case no actual value is provided at run time, variable-definition syntax can be used inside the function header. Code examples "Hello, World!" program: Program to calculate the factorial of a non-negative integer: Libraries Python's large standard library is commonly cited as one of its greatest strengths. For Internet-facing applications, many standard formats and protocols such as MIME and HTTP are supported. The language includes modules for creating graphical user interfaces, connecting to relational databases, generating pseudorandom numbers, arithmetic with arbitrary-precision decimals, manipulating regular expressions, and unit testing. Some parts of the standard library are covered by specifications—for example, the Web Server Gateway Interface (WSGI) implementation wsgiref follows PEP 333—but most parts are specified by their code, internal documentation, and test suites. However, because most of the standard library is cross-platform Python code, only a few modules must be altered or rewritten for variant implementations. As of 13 March 2025,[update] the Python Package Index (PyPI), the official repository for third-party Python software, contains over 614,339 packages. Development environments Most[which?] Python implementations (including CPython) include a read–eval–print loop (REPL); this permits the environment to function as a command line interpreter, with which users enter statements sequentially and receive results immediately. Also, CPython is bundled with an integrated development environment (IDE) called IDLE, which is oriented toward beginners.[citation needed] Other shells, including IDLE and IPython, add additional capabilities such as improved auto-completion, session-state retention, and syntax highlighting. Standard desktop IDEs include PyCharm, Spyder, and Visual Studio Code; there are web browser-based IDEs, such as the following environments: Implementations CPython is the reference implementation of Python. This implementation is written in C, meeting the C11 standard since version 3.11. Older versions use the C89 standard with several select C99 features, but third-party extensions are not limited to older C versions—e.g., they can be implemented using C11 or C++. CPython compiles Python programs into an intermediate bytecode, which is then executed by a virtual machine. CPython is distributed with a large standard library written in a combination of C and native Python. CPython is available for many platforms, including Windows and most modern Unix-like systems, including macOS (and Apple M1 Macs, since Python 3.9.1, using an experimental installer). Starting with Python 3.9, the Python installer intentionally fails to install on Windows 7 and 8; Windows XP was supported until Python 3.5, with unofficial support for VMS. Platform portability was one of Python's earliest priorities. During development of Python 1 and 2, even OS/2 and Solaris were supported; since that time, support has been dropped for many platforms. All current Python versions (since 3.7) support only operating systems that feature multithreading, by now supporting not nearly as many operating systems (dropping many outdated) than in the past. All alternative implementations have at least slightly different semantics. For example, an alternative may include unordered dictionaries, in contrast to other current Python versions. As another example in the larger Python ecosystem, PyPy does not support the full C Python API. Creating an executable with Python often is done by bundling an entire Python interpreter into the executable, which causes binary sizes to be massive for small programs, yet there exist implementations that are capable of truly compiling Python. Alternative implementations include the following: Stackless Python is a significant fork of CPython that implements microthreads. This implementation uses the call stack differently, thus allowing massively concurrent programs. PyPy also offers a stackless version. Just-in-time Python compilers have been developed, but are now unsupported: There are several compilers/transpilers to high-level object languages; the source language is unrestricted Python, a subset of Python, or a language similar to Python: There are also specialized compilers: Some older projects existed, as well as compilers not designed for use with Python 3.x and related syntax: A performance comparison among various Python implementations, using a non-numerical (combinatorial) workload, was presented at EuroSciPy '13. In addition, Python's performance relative to other programming languages is benchmarked by The Computer Language Benchmarks Game. There are several approaches to optimizing Python performance, despite the inherent slowness of an interpreted language. These approaches include the following strategies or tools: Language Development Python's development is conducted mostly through the Python Enhancement Proposal (PEP) process; this process is the primary mechanism for proposing major new features, collecting community input on issues, and documenting Python design decisions. Python coding style is covered in PEP 8. Outstanding PEPs are reviewed and commented on by the Python community and the steering council. Enhancement of the language corresponds with development of the CPython reference implementation. The mailing list python-dev is the primary forum for the language's development. Specific issues were originally discussed in the Roundup bug tracker hosted by the foundation. In 2022, all issues and discussions were migrated to GitHub. Development originally took place on a self-hosted source-code repository running Mercurial, until Python moved to GitHub in January 2017. CPython's public releases have three types, distinguished by which part of the version number is incremented: Many alpha, beta, and release-candidates are also released as previews and for testing before final releases. Although there is a rough schedule for releases, they are often delayed if the code is not ready yet. Python's development team monitors the state of the code by running a large unit test suite during development. The major academic conference on Python is PyCon. Also, there are special Python mentoring programs, such as PyLadies. Naming Python's name is inspired by the British comedy group Monty Python, whom Python creator Guido van Rossum enjoyed while developing the language. Monty Python references appear frequently in Python code and culture; for example, the metasyntactic variables often used in Python literature are spam and eggs, rather than the traditional foo and bar. Also, the official Python documentation contains various references to Monty Python routines. Python users are sometimes referred to as "Pythonistas". Languages influenced by Python See also Notes References Further reading External links |
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[SOURCE: https://en.wikipedia.org/wiki/PlayStation:_The_Official_Magazine] | [TOKENS: 738] |
Contents PlayStation: The Official Magazine PlayStation: The Official Magazine (PTOM) was a magazine originally known as PlayStation Magazine (PSM), becoming PlayStation: The Official Magazine in late 2007. PlayStation: The Official Magazine was published 13 times a year by Future plc until its cancellation in late 2012. PSM's UK-based partner magazine, PSM3, was another Future publication. History Prior to becoming the official magazine, PSM was an independently published video game magazine specializing in all Sony PlayStation-brand video game consoles and handheld gaming platforms. PSM was published by Future, who also publishes PlayStation Official Magazine in United Kingdom. The magazine launched with the September 1997 issue, which featured Final Fantasy VII on the cover. During its publication, it consistently outsold every other PlayStation-dedicated magazine both in the United States and abroad (according to independent ABC audits).[citation needed] PSM celebrated ten years of publication with its 2007 issue. By this time, the magazine had been through several redesigns, most recently with its June 2006 issue. Also over its history, the magazine had sponsored side content such as cover-mounted DVDs, websites, online forums, and near the end, a PSM podcast. After Official U.S. PlayStation Magazine was discontinued, Sony Computer Entertainment announced on October 1, 2007, that PSM would become PlayStation: The Official Magazine. The last issue published under the PSM title was that of December 2007, becoming PlayStation: The Official Magazine with the following Christmas 2007 issue. While it did retain the same staff for a period of time lasting from December 2007 until January 2008, it eventually lost its remaining core editors, making PTOM a completely different magazine from the former PSM. Due to the same setbacks that caused the cancelations of other video game magazines published by Future (mostly prominently Nintendo Power), the magazine ceased publication after 15 years (5 as PlayStation: The Official Magazine) with its Christmas 2012 issue. Mascots and promotion In the beginning, PSM had an anime-style mascot named "Banzai Chibi-Chan", created and illustrated by Robert DeJesus. He was featured prominently in early issues and even inspired apparel and other accessories. He was later dropped, with the supposed reason being that the character was too childish and gave some the wrong impression about the magazine's intended audience.[citation needed] A smiley face featuring an eye patch with a star on it was also used, but it too was eventually dropped after the magazine went through redesign in later years. The PSM Smiley Face was notable for its appearance throughout the magazine, as well as on "lid-sticker" inserts (large, circular stickers that could be placed decoratively on the lid of a PlayStation console), including one found in the first issue. Some lid-stickers promotionally featured characters from PlayStation games being covered in the magazine. Other inserts included PlayStation memory card label stickers featuring visual themes similar to the lid-stickers, as well as video game tip sheets, instead of the demo discs that then-competitor Official U.S. PlayStation Magazine was known for. As PTOM, from the July 2008 issue to the June 2009 issue, the magazine included promotional codes for free downloads of Qore, a subscription-based interactive online magazine for the PlayStation 3, available through the PlayStation Store. These free, promotional editions of Qore did not include some of the features available in the paid-for edition, such as playable demos. PTOM also had promotional pullout-style posters from time to time, to help advertise upcoming video game releases. References External links |
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[SOURCE: https://en.wikipedia.org/wiki/Social_network#cite_ref-Burt_2004_49-1] | [TOKENS: 5247] |
Contents Social network 1800s: Martineau · Tocqueville · Marx · Spencer · Le Bon · Ward · Pareto · Tönnies · Veblen · Simmel · Durkheim · Addams · Mead · Weber · Du Bois · Mannheim · Elias A social network is a social structure consisting of a set of social actors (such as individuals or organizations), networks of dyadic ties, and other social interactions between actors. The social network perspective provides a set of methods for analyzing the structure of whole social entities along with a variety of theories explaining the patterns observed in these structures. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine dynamics of networks. For instance, social network analysis has been used in studying the spread of misinformation on social media platforms or analyzing the influence of key figures in social networks. Social networks and the analysis of them is an inherently interdisciplinary academic field which emerged from social psychology, sociology, statistics, and graph theory. Georg Simmel authored early structural theories in sociology emphasizing the dynamics of triads and "web of group affiliations". Jacob Moreno is credited with developing the first sociograms in the 1930s to study interpersonal relationships. These approaches were mathematically formalized in the 1950s and theories and methods of social networks became pervasive in the social and behavioral sciences by the 1980s. Social network analysis is now one of the major paradigms in contemporary sociology, and is also employed in a number of other social and formal sciences. Together with other complex networks, it forms part of the nascent field of network science. Overview The social network is a theoretical construct useful in the social sciences to study relationships between individuals, groups, organizations, or even entire societies (social units, see differentiation). The term is used to describe a social structure determined by such interactions. The ties through which any given social unit connects represent the convergence of the various social contacts of that unit. This theoretical approach is, necessarily, relational. An axiom of the social network approach to understanding social interaction is that social phenomena should be primarily conceived and investigated through the properties of relations between and within units, instead of the properties of these units themselves. Thus, one common criticism of social network theory is that individual agency is often ignored although this may not be the case in practice (see agent-based modeling). Precisely because many different types of relations, singular or in combination, form these network configurations, network analytics are useful to a broad range of research enterprises. In social science, these fields of study include, but are not limited to anthropology, biology, communication studies, economics, geography, information science, organizational studies, social psychology, sociology, and sociolinguistics. History In the late 1890s, both Émile Durkheim and Ferdinand Tönnies foreshadowed the idea of social networks in their theories and research of social groups. Tönnies argued that social groups can exist as personal and direct social ties that either link individuals who share values and belief (Gemeinschaft, German, commonly translated as "community") or impersonal, formal, and instrumental social links (Gesellschaft, German, commonly translated as "society"). Durkheim gave a non-individualistic explanation of social facts, arguing that social phenomena arise when interacting individuals constitute a reality that can no longer be accounted for in terms of the properties of individual actors. Georg Simmel, writing at the turn of the twentieth century, pointed to the nature of networks and the effect of network size on interaction and examined the likelihood of interaction in loosely knit networks rather than groups. Major developments in the field can be seen in the 1930s by several groups in psychology, anthropology, and mathematics working independently. In psychology, in the 1930s, Jacob L. Moreno began systematic recording and analysis of social interaction in small groups, especially classrooms and work groups (see sociometry). In anthropology, the foundation for social network theory is the theoretical and ethnographic work of Bronislaw Malinowski, Alfred Radcliffe-Brown, and Claude Lévi-Strauss. A group of social anthropologists associated with Max Gluckman and the Manchester School, including John A. Barnes, J. Clyde Mitchell and Elizabeth Bott Spillius, often are credited with performing some of the first fieldwork from which network analyses were performed, investigating community networks in southern Africa, India and the United Kingdom. Concomitantly, British anthropologist S. F. Nadel codified a theory of social structure that was influential in later network analysis. In sociology, the early (1930s) work of Talcott Parsons set the stage for taking a relational approach to understanding social structure. Later, drawing upon Parsons' theory, the work of sociologist Peter Blau provides a strong impetus for analyzing the relational ties of social units with his work on social exchange theory. By the 1970s, a growing number of scholars worked to combine the different tracks and traditions. One group consisted of sociologist Harrison White and his students at the Harvard University Department of Social Relations. Also independently active in the Harvard Social Relations department at the time were Charles Tilly, who focused on networks in political and community sociology and social movements, and Stanley Milgram, who developed the "six degrees of separation" thesis. Mark Granovetter and Barry Wellman are among the former students of White who elaborated and championed the analysis of social networks. Beginning in the late 1990s, social network analysis experienced work by sociologists, political scientists, and physicists such as Duncan J. Watts, Albert-László Barabási, Peter Bearman, Nicholas A. Christakis, James H. Fowler, and others, developing and applying new models and methods to emerging data available about online social networks, as well as "digital traces" regarding face-to-face networks. Levels of analysis In general, social networks are self-organizing, emergent, and complex, such that a globally coherent pattern appears from the local interaction of the elements that make up the system. These patterns become more apparent as network size increases. However, a global network analysis of, for example, all interpersonal relationships in the world is not feasible and is likely to contain so much information as to be uninformative. Practical limitations of computing power, ethics and participant recruitment and payment also limit the scope of a social network analysis. The nuances of a local system may be lost in a large network analysis, hence the quality of information may be more important than its scale for understanding network properties. Thus, social networks are analyzed at the scale relevant to the researcher's theoretical question. Although levels of analysis are not necessarily mutually exclusive, there are three general levels into which networks may fall: micro-level, meso-level, and macro-level. At the micro-level, social network research typically begins with an individual, snowballing as social relationships are traced, or may begin with a small group of individuals in a particular social context. Dyadic level: A dyad is a social relationship between two individuals. Network research on dyads may concentrate on structure of the relationship (e.g. multiplexity, strength), social equality, and tendencies toward reciprocity/mutuality. Triadic level: Add one individual to a dyad, and you have a triad. Research at this level may concentrate on factors such as balance and transitivity, as well as social equality and tendencies toward reciprocity/mutuality. In the balance theory of Fritz Heider the triad is the key to social dynamics. The discord in a rivalrous love triangle is an example of an unbalanced triad, likely to change to a balanced triad by a change in one of the relations. The dynamics of social friendships in society has been modeled by balancing triads. The study is carried forward with the theory of signed graphs. Actor level: The smallest unit of analysis in a social network is an individual in their social setting, i.e., an "actor" or "ego." Egonetwork analysis focuses on network characteristics, such as size, relationship strength, density, centrality, prestige and roles such as isolates, liaisons, and bridges. Such analyses, are most commonly used in the fields of psychology or social psychology, ethnographic kinship analysis or other genealogical studies of relationships between individuals. Subset level: Subset levels of network research problems begin at the micro-level, but may cross over into the meso-level of analysis. Subset level research may focus on distance and reachability, cliques, cohesive subgroups, or other group actions or behavior. In general, meso-level theories begin with a population size that falls between the micro- and macro-levels. However, meso-level may also refer to analyses that are specifically designed to reveal connections between micro- and macro-levels. Meso-level networks are low density and may exhibit causal processes distinct from interpersonal micro-level networks. Organizations: Formal organizations are social groups that distribute tasks for a collective goal. Network research on organizations may focus on either intra-organizational or inter-organizational ties in terms of formal or informal relationships. Intra-organizational networks themselves often contain multiple levels of analysis, especially in larger organizations with multiple branches, franchises or semi-autonomous departments. In these cases, research is often conducted at a work group level and organization level, focusing on the interplay between the two structures. Experiments with networked groups online have documented ways to optimize group-level coordination through diverse interventions, including the addition of autonomous agents to the groups. Randomly distributed networks: Exponential random graph models of social networks became state-of-the-art methods of social network analysis in the 1980s. This framework has the capacity to represent social-structural effects commonly observed in many human social networks, including general degree-based structural effects commonly observed in many human social networks as well as reciprocity and transitivity, and at the node-level, homophily and attribute-based activity and popularity effects, as derived from explicit hypotheses about dependencies among network ties. Parameters are given in terms of the prevalence of small subgraph configurations in the network and can be interpreted as describing the combinations of local social processes from which a given network emerges. These probability models for networks on a given set of actors allow generalization beyond the restrictive dyadic independence assumption of micro-networks, allowing models to be built from theoretical structural foundations of social behavior. Scale-free networks: A scale-free network is a network whose degree distribution follows a power law, at least asymptotically. In network theory a scale-free ideal network is a random network with a degree distribution that unravels the size distribution of social groups. Specific characteristics of scale-free networks vary with the theories and analytical tools used to create them, however, in general, scale-free networks have some common characteristics. One notable characteristic in a scale-free network is the relative commonness of vertices with a degree that greatly exceeds the average. The highest-degree nodes are often called "hubs", and may serve specific purposes in their networks, although this depends greatly on the social context. Another general characteristic of scale-free networks is the clustering coefficient distribution, which decreases as the node degree increases. This distribution also follows a power law. The Barabási model of network evolution shown above is an example of a scale-free network. Rather than tracing interpersonal interactions, macro-level analyses generally trace the outcomes of interactions, such as economic or other resource transfer interactions over a large population. Large-scale networks: Large-scale network is a term somewhat synonymous with "macro-level." It is primarily used in social and behavioral sciences, and in economics. Originally, the term was used extensively in the computer sciences (see large-scale network mapping). Complex networks: Most larger social networks display features of social complexity, which involves substantial non-trivial features of network topology, with patterns of complex connections between elements that are neither purely regular nor purely random (see, complexity science, dynamical system and chaos theory), as do biological, and technological networks. Such complex network features include a heavy tail in the degree distribution, a high clustering coefficient, assortativity or disassortativity among vertices, community structure (see stochastic block model), and hierarchical structure. In the case of agency-directed networks these features also include reciprocity, triad significance profile (TSP, see network motif), and other features. In contrast, many of the mathematical models of networks that have been studied in the past, such as lattices and random graphs, do not show these features. Theoretical links Various theoretical frameworks have been imported for the use of social network analysis. The most prominent of these are Graph theory, Balance theory, Social comparison theory, and more recently, the Social identity approach. Few complete theories have been produced from social network analysis. Two that have are structural role theory and heterophily theory. The basis of Heterophily Theory was the finding in one study that more numerous weak ties can be important in seeking information and innovation, as cliques have a tendency to have more homogeneous opinions as well as share many common traits. This homophilic tendency was the reason for the members of the cliques to be attracted together in the first place. However, being similar, each member of the clique would also know more or less what the other members knew. To find new information or insights, members of the clique will have to look beyond the clique to its other friends and acquaintances. This is what Granovetter called "the strength of weak ties". Structural holes In the context of networks, social capital exists where people have an advantage because of their location in a network. Contacts in a network provide information, opportunities and perspectives that can be beneficial to the central player in the network. Most social structures tend to be characterized by dense clusters of strong connections. Information within these clusters tends to be rather homogeneous and redundant. Non-redundant information is most often obtained through contacts in different clusters. When two separate clusters possess non-redundant information, there is said to be a structural hole between them. Thus, a network that bridges structural holes will provide network benefits that are in some degree additive, rather than overlapping. An ideal network structure has a vine and cluster structure, providing access to many different clusters and structural holes. Networks rich in structural holes are a form of social capital in that they offer information benefits. The main player in a network that bridges structural holes is able to access information from diverse sources and clusters. For example, in business networks, this is beneficial to an individual's career because he is more likely to hear of job openings and opportunities if his network spans a wide range of contacts in different industries/sectors. This concept is similar to Mark Granovetter's theory of weak ties, which rests on the basis that having a broad range of contacts is most effective for job attainment. Structural holes have been widely applied in social network analysis, resulting in applications in a wide range of practical scenarios as well as machine learning-based social prediction. Research clusters Research has used network analysis to examine networks created when artists are exhibited together in museum exhibition. Such networks have been shown to affect an artist's recognition in history and historical narratives, even when controlling for individual accomplishments of the artist. Other work examines how network grouping of artists can affect an individual artist's auction performance. An artist's status has been shown to increase when associated with higher status networks, though this association has diminishing returns over an artist's career. In J.A. Barnes' day, a "community" referred to a specific geographic location and studies of community ties had to do with who talked, associated, traded, and attended church with whom. Today, however, there are extended "online" communities developed through telecommunications devices and social network services. Such devices and services require extensive and ongoing maintenance and analysis, often using network science methods. Community development studies, today, also make extensive use of such methods. Complex networks require methods specific to modelling and interpreting social complexity and complex adaptive systems, including techniques of dynamic network analysis. Mechanisms such as Dual-phase evolution explain how temporal changes in connectivity contribute to the formation of structure in social networks. The study of social networks is being used to examine the nature of interdependencies between actors and the ways in which these are related to outcomes of conflict and cooperation. Areas of study include cooperative behavior among participants in collective actions such as protests; promotion of peaceful behavior, social norms, and public goods within communities through networks of informal governance; the role of social networks in both intrastate conflict and interstate conflict; and social networking among politicians, constituents, and bureaucrats. In criminology and urban sociology, much attention has been paid to the social networks among criminal actors. For example, murders can be seen as a series of exchanges between gangs. Murders can be seen to diffuse outwards from a single source, because weaker gangs cannot afford to kill members of stronger gangs in retaliation, but must commit other violent acts to maintain their reputation for strength. Diffusion of ideas and innovations studies focus on the spread and use of ideas from one actor to another or one culture and another. This line of research seeks to explain why some become "early adopters" of ideas and innovations, and links social network structure with facilitating or impeding the spread of an innovation. A case in point is the social diffusion of linguistic innovation such as neologisms. Experiments and large-scale field trials (e.g., by Nicholas Christakis and collaborators) have shown that cascades of desirable behaviors can be induced in social groups, in settings as diverse as Honduras villages, Indian slums, or in the lab. Still other experiments have documented the experimental induction of social contagion of voting behavior, emotions, risk perception, and commercial products. In demography, the study of social networks has led to new sampling methods for estimating and reaching populations that are hard to enumerate (for example, homeless people or intravenous drug users.) For example, respondent driven sampling is a network-based sampling technique that relies on respondents to a survey recommending further respondents. The field of sociology focuses almost entirely on networks of outcomes of social interactions. More narrowly, economic sociology considers behavioral interactions of individuals and groups through social capital and social "markets". Sociologists, such as Mark Granovetter, have developed core principles about the interactions of social structure, information, ability to punish or reward, and trust that frequently recur in their analyses of political, economic and other institutions. Granovetter examines how social structures and social networks can affect economic outcomes like hiring, price, productivity and innovation and describes sociologists' contributions to analyzing the impact of social structure and networks on the economy. Analysis of social networks is increasingly incorporated into health care analytics, not only in epidemiological studies but also in models of patient communication and education, disease prevention, mental health diagnosis and treatment, and in the study of health care organizations and systems. Human ecology is an interdisciplinary and transdisciplinary study of the relationship between humans and their natural, social, and built environments. The scientific philosophy of human ecology has a diffuse history with connections to geography, sociology, psychology, anthropology, zoology, and natural ecology. In the study of literary systems, network analysis has been applied by Anheier, Gerhards and Romo, De Nooy, Senekal, and Lotker, to study various aspects of how literature functions. The basic premise is that polysystem theory, which has been around since the writings of Even-Zohar, can be integrated with network theory and the relationships between different actors in the literary network, e.g. writers, critics, publishers, literary histories, etc., can be mapped using visualization from SNA. Research studies of formal or informal organization relationships, organizational communication, economics, economic sociology, and other resource transfers. Social networks have also been used to examine how organizations interact with each other, characterizing the many informal connections that link executives together, as well as associations and connections between individual employees at different organizations. Many organizational social network studies focus on teams. Within team network studies, research assesses, for example, the predictors and outcomes of centrality and power, density and centralization of team instrumental and expressive ties, and the role of between-team networks. Intra-organizational networks have been found to affect organizational commitment, organizational identification, interpersonal citizenship behaviour. Social capital is a form of economic and cultural capital in which social networks are central, transactions are marked by reciprocity, trust, and cooperation, and market agents produce goods and services not mainly for themselves, but for a common good. Social capital is split into three dimensions: the structural, the relational and the cognitive dimension. The structural dimension describes how partners interact with each other and which specific partners meet in a social network. Also, the structural dimension of social capital indicates the level of ties among organizations. This dimension is highly connected to the relational dimension which refers to trustworthiness, norms, expectations and identifications of the bonds between partners. The relational dimension explains the nature of these ties which is mainly illustrated by the level of trust accorded to the network of organizations. The cognitive dimension analyses the extent to which organizations share common goals and objectives as a result of their ties and interactions. Social capital is a sociological concept about the value of social relations and the role of cooperation and confidence to achieve positive outcomes. The term refers to the value one can get from their social ties. For example, newly arrived immigrants can make use of their social ties to established migrants to acquire jobs they may otherwise have trouble getting (e.g., because of unfamiliarity with the local language). A positive relationship exists between social capital and the intensity of social network use. In a dynamic framework, higher activity in a network feeds into higher social capital which itself encourages more activity. This particular cluster focuses on brand-image and promotional strategy effectiveness, taking into account the impact of customer participation on sales and brand-image. This is gauged through techniques such as sentiment analysis which rely on mathematical areas of study such as data mining and analytics. This area of research produces vast numbers of commercial applications as the main goal of any study is to understand consumer behaviour and drive sales. In many organizations, members tend to focus their activities inside their own groups, which stifles creativity and restricts opportunities. A player whose network bridges structural holes has an advantage in detecting and developing rewarding opportunities. Such a player can mobilize social capital by acting as a "broker" of information between two clusters that otherwise would not have been in contact, thus providing access to new ideas, opinions and opportunities. British philosopher and political economist John Stuart Mill, writes, "it is hardly possible to overrate the value of placing human beings in contact with persons dissimilar to themselves.... Such communication [is] one of the primary sources of progress." Thus, a player with a network rich in structural holes can add value to an organization through new ideas and opportunities. This in turn, helps an individual's career development and advancement. A social capital broker also reaps control benefits of being the facilitator of information flow between contacts. Full communication with exploratory mindsets and information exchange generated by dynamically alternating positions in a social network promotes creative and deep thinking. In the case of consulting firm Eden McCallum, the founders were able to advance their careers by bridging their connections with former big three consulting firm consultants and mid-size industry firms. By bridging structural holes and mobilizing social capital, players can advance their careers by executing new opportunities between contacts. There has been research that both substantiates and refutes the benefits of information brokerage. A study of high tech Chinese firms by Zhixing Xiao found that the control benefits of structural holes are "dissonant to the dominant firm-wide spirit of cooperation and the information benefits cannot materialize due to the communal sharing values" of such organizations. However, this study only analyzed Chinese firms, which tend to have strong communal sharing values. Information and control benefits of structural holes are still valuable in firms that are not quite as inclusive and cooperative on the firm-wide level. In 2004, Ronald Burt studied 673 managers who ran the supply chain for one of America's largest electronics companies. He found that managers who often discussed issues with other groups were better paid, received more positive job evaluations and were more likely to be promoted. Thus, bridging structural holes can be beneficial to an organization, and in turn, to an individual's career. Computer networks combined with social networking software produce a new medium for social interaction. A relationship over a computerized social networking service can be characterized by context, direction, and strength. The content of a relation refers to the resource that is exchanged. In a computer-mediated communication context, social pairs exchange different kinds of information, including sending a data file or a computer program as well as providing emotional support or arranging a meeting. With the rise of electronic commerce, information exchanged may also correspond to exchanges of money, goods or services in the "real" world. Social network analysis methods have become essential to examining these types of computer mediated communication. In addition, the sheer size and the volatile nature of social media has given rise to new network metrics. A key concern with networks extracted from social media is the lack of robustness of network metrics given missing data. Based on the pattern of homophily, ties between people are most likely to occur between nodes that are most similar to each other, or within neighbourhood segregation, individuals are most likely to inhabit the same regional areas as other individuals who are like them. Therefore, social networks can be used as a tool to measure the degree of segregation or homophily within a social network. Social Networks can both be used to simulate the process of homophily but it can also serve as a measure of level of exposure of different groups to each other within a current social network of individuals in a certain area. See also References Further reading External links |
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[SOURCE: https://en.wikipedia.org/wiki/Arthropods_in_film] | [TOKENS: 2342] |
Contents Arthropods in film Arthropods, which include crustaceans, arachnids, and insects, are characterized in many different ways. Their bodies are segmented and covered by a cuticle, and their appendages have joints. These and other features set arthropods apart from other groups. Arthropods, mainly insects and arachnids, are used in film either to create fear and disgust in horror and thriller films, or they are anthropomorphized and used as sympathetic characters in animated children's films. There are over 1,000,000 species of arthropods, including such familiar animals as ants, spiders, shrimps, crabs and butterflies. Many different films throughout history have involved the phylum Arthropoda. Some arthropods have distinct colorings and shapes that make them seem "pretty" to human observers, while others may have an appearance that is deemed "scary". "Bugs" like butterflies and dragonflies are often deemed prettier than ants and spiders. This outward judgement often comes from previous experiences that people have had with arthropods, as well as how arthropods have been and continue to be portrayed in common media. Early 20th century films had difficulty featuring small insects due to technical difficulties in film-stock exposure and the quality of lenses available. Horror films involving arthropods include the pioneering 1954 Them!, featuring giant ants mutated by radiation, and the 1957 The Deadly Mantis. Films based on oversized arthropods are sometimes described as big bug movies. Arthropods used in films may be animated, sculpted, or otherwise synthesized; however, in many cases these films use actual creatures. As these creatures are not easily tamed or directed, a specialist known as a "Bug Wrangler" may be hired to control and direct these creatures. Some bug wranglers have become famous as a result of their expertise, such as Norman Gary, a champion bee-wrangler who is also a college professor, and Steven R. Kutcher, who wrangles a multitude of different types of bugs and who is the subject of over 100 print articles. How arthropods were depicted in cinema has changed drastically in comparison to how they are depicted in cinema today. In his paper Us or Them!: Silent Spring and the Big Bug Films of the 1950s, Bellin describes how insects are shown to be evil and monstrous beings in several different films of the 1950s and 1960s. Films such as Them! illustrate a world where arthropods like ants are giant creatures that attempt to take over the planet. However, in other films such as Disney's Pinocchio, a character named Jiminy Cricket (representing crickets from phylum Arthropoda) is shown to be not ugly and scary but a rather cute and wise sidekick to the main character Pinocchio. In modern cinema, arthropods are associated with a number of Marvel superheroes including those from the films Ant-Man, Ant-Man and the Wasp, and Spider-Man. In these films, many arthropods and their qualities, like their strength and web-weaving abilities, are depicted in a positive light. Horror Arthropods are effective tools to instill horror, because fear of arthropods may be conditioned into people's minds. Indeed, Jamie Whitten quoted in his book That We May Live, (talking about insects): The enemy is already here-in the skies, in the fields, and waterways. It is dug into every square foot of our earth; it has invaded homes, schoolhouses, public buildings; it has poisoned food and water; it brings sickness and death by germ warfare to countless millions of people every year.... The enemy within-these walking, crawling, jumping, flying pests-destroy more crops than drought and floods. They destroy more buildings than fire. They are responsible for many of the most dreaded diseases of man and his domestic animals.... Some of them eat or attack everything man owns or produces-including man himself. Thus, insects and other arthropods are dangerous to humans in both obvious and less obvious ways. Undoubtedly, arthropods are dangerous for their potential to carry disease. Somewhat less apparently, arthropods cause damage to buildings, crops, and animals. Since arthropods can be harmful in so many ways, using insects and other arthropods to frighten people in films was a logical step. Aside from a natural fear or aversion to arthropods, reasons for using such creatures in films could be metaphorical. Many of the most famous "Big Bug Movies" were made in the 1950s in the aftermath of World War II, when the world was introduced to the cataclysmic destruction inflicted by nuclear bombs. The bomb was unapproachable, remote, and terrifying; spiders and ants mutated by nuclear radiation to become huge were terrifying, but thanks to the competent government officials, soldiers, policemen, and detectives, the bugs were stopped and safety was restored. Nuclear terror was conquered without expressly facing a nuclear bomb. In this way, big bug movies could be cathartic and liberating to the general public. By another view, big bug movies could be less metaphorical, and more literally reflect concerns about the health effects of actual insect infestations as well as pesticides such as DDT. Big bug films may symbolize sexual desire. Margaret Tarrat says in her article "Monsters of the id" that "[Big bug movies] arrive at social comment through a dramatization of the individual's anxiety about his or her own repressed sexual desires, which are incompatible with the morals of civilized life." By this theory, gigantic swarming insects could represent the huge, torrential—but repressed due to the demands of society—sexual desires possessed by the creator and viewer of the Big Bug movie. On gigantic arthropods, Charles Q. Choi stated that, if the atmosphere had a higher percentage of oxygen, arthropods would be able to grow quite a bit larger before their trachea became too large and could not grow any more. In fact, in the early years of the Earth, when the atmosphere was more oxygen-rich, dragonflies the size of crows were not an uncommon sight. According to biologist Michael C. LaBarbera in "The Biology of B-Movie Monsters", there may be additional limitations on gigantic insects. Square-cube law would require allometric scaling for any scaled up or scaled down creature, contrary to most film monsters. For giant bugs as in Them!, their exoskeleton would consist of essentially hollow tubes—thin-walled tubes are very efficient structures, however any slight damage would make them vulnerable to buckling. Additionally he argues, giant insects would face greater stresses on their joints due to a very small contact area (pin joints) compared to vertebrate joints. Animation Winsor McCay, one of the founders of animation, made the first animated film about insects in 1912, titled How a Mosquito Operates. In the early 20th century, it was technically easier to include insects in animated films, which are drawn, over live-action films which would require more advanced techniques to film insects, due to their small size, necessitating better lenses and exposure techniques than those available at the time. One filmmaker, Władysław Starewicz, found that when filming live stag beetles, they tended to stop moving under the hot lights. To solve this problem, he killed his film subjects and attached wires to their bodies in order to puppeteer them. His films were successful, and he eventually abandoned real insects in favor of puppets of his own creation. One of the best-known animated insects is Jiminy Cricket, whose initial design was more realistic and insect-like, but eventually evolved into an elf-like creature. Computer-animated films have proven particularly suited for depicting insects, beginning with Pixar's 1984 short film The Adventures of André and Wally B. Early computer animation was successful at depicting rod-like appendages and shiny metallic surfaces, lending itself to the depiction of insects. By 1996, films like Joe’s Apartment achieved rendering hundreds of photorealistic insects. Other animated films continued to depict more anthropomorphized characters, such as A Bug's Life and Antz, both of which came out in 1998, and the 2007 Bee Movie. One reason insects are used successfully in such animations could be that an insect or other arthropod's small size makes it seem heroic and sympathetic when faced against the big, big world. Another reason is counterpoint to the reason for using arthropods in horror films: whereas horror films play upon the instinctive negative reaction humans have towards insects and arachnids, these animation films make something that is different and strange seem real, approachable, and sympathetic, thus making it comforting. Action/fantasy Arthropods can be seen in the Marvel Cinematic Universe Ant-Man films. Both versions of Ant-Man, Hank Pym and Scott Lang, utilize technology that allows them to shrink to the size of an ant and communicate with ants, allowing the ants to assist them in various tasks. In the film, several different types of ant species are seen, including the crazy ant (Paratrechina longicornis), carpenter ant (Camponotus pennsylvanicus), the bullet ant (Paraponera clavata), and the fire ant (Solenopsis geminata). Spider-Man, a superhero with the motif and abilities of a spider, has drastically changed the way people view heroes and villains as well as the creatures they are associated with. One study uncovered that, statistically, the quantity of heroes and villains did not differ, even though it was thought that there would be more villains considered because more of the population associates spiders and other arthropods with danger. Media such as Spider-Man and the aforementioned Ant-Man depict arthropods in a more positive light. They showcase the attributes of arthropods including their abilities of communication, strength, and defense as "superpowers" that could enhance human attributes. Illustrating arthropods in a nonthreatening manner may help to alleviate certain arthropod phobias to a certain extent. A study published in June 2019 by Hoffman et al. found that some people with a fear of arthropods who were exposed to short clips from Spider-Man and Ant-Man saw a small decrease in their fear of arthropods. While this study needs further experimentation, it does show that companies are profiting by portraying arthropods in a positive manner rather than a threatening and negative one, as they have often done so in the past. A Bug's Life was created in 1998, and it is a production by Pixar Animation Studios for Walt Disney Pictures. The film follows a colony of ants who are forced to give their food to a group of grasshoppers led by Hopper. This exchange happens annually with no issues until one year, when a clumsy ant named Flik accidentally destroys the food. Flik is sent to find allies to battle the grasshoppers and eventually overcomes Hopper, defying everyone's expectations. While the film depicts a fictionalized version of ants, it does describe some real abilities that ants do showcase. Colonies of ant often times have to hunt for weeks and days to find enough food, and then have to protect the food from potential attackers. In real life, a singular ant would not be able to bring back as much food by themselves. References Further reading |
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[SOURCE: https://en.wikipedia.org/wiki/Ministry_of_Cyber_and_National_Digital_Matters] | [TOKENS: 163] |
Contents Ministry of Cyber and National Digital Matters The Ministry of Cyber and National Digital Matters was a ministry in the thirty-fifth government of Israel, responsible for the computing and the Governmental Companies Authority. The ministry was founded in 2020 and abolished in the thirty-sixth government of Israel. History In April 2019 the CEO of the Ministry of Communications of Israel signed a strategic document, stating that the Ministry of Communications would no longer handle digital matters. In 2020, after the 2019–20 Israeli political crisis the thirty-fifth government of Israel decided to establish a new ministry. Dudi Amsalem was nominated as a minister. The Ministry was abolished following the establishment of the Thirty-sixth government of Israel. Structure Ministers References External links Ministry of national digital affairs's website (Hebrew) |
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[SOURCE: https://en.wikipedia.org/wiki/Portable_Sound_Format] | [TOKENS: 588] |
Contents Portable Sound Format The Portable Sound Format (PSF) is a music file format ripped directly from video games from a variety of video game consoles. The format was originally used for PlayStation video games, but has since been adapted to support other systems. The PSF format was publicly documented by Neill Corlett in 2003, who also wrote a Winamp plug-in named "Highly Experimental" that plays PSF1 and PSF2 files. Generally, PSF files contain a number of samples and a music sequencer player program. This takes far less space than an equivalent streamed format of the same music (WAV, MP3) while still sounding high fidelity. Background music stored in PSF files can usually be looped forever, as the sequencer handles its own loop points. Several PSF sub-formats also have a miniPSF/PSFlib capability, wherein data used by multiple tracks is stored only once in an accompanying PSFlib file. Further differences are stored in a miniPSF file, which can be compressed via zlib to further increase storage efficiency. A PSF2 file is the PlayStation 2 equivalent of a PSF. PSF2 is internally structured as a file system, rather than PSF, which is a single PS executable. PSF's native sample rate is 44,100 Hz, while PSF2's is 48,000 Hz. Rates may vary from 8,000 Hz to 96,000 Hz. Both PSF and PSF2 files contain a header which specifies the type of video game system the file contains data for, and an optional set of tags at the end which can give detailed information such as game name, artist and length. PSF sub-formats PSF initially stood only for "PlayStation Sound Format", but with the addition of the PSF2, SSF (Sega Saturn Sound Format), DSF (Dreamcast Sound Format), USF (Nintendo Ultra 64 Sound Format), QSF (Capcom Q-Sound Format), GSF (Game Boy Advance Sound Format), and 2SF (Nintendo DS Sound Format) sub-formats, the more generic backronym "Portable Sound Format" was developed. As a result, PSF and PSF1 interchangeably refer to PlayStation sound data files. GBA Sound Format (GSF) is an emulated Game Boy Advance audio format developed by Caitsith2 and Zoopd. The basic GSF file structure is a sub-format of PSF. GSF players emulate the files as sound-only Game Boy Advance ROMs, and as such can be processor intensive when compared to mainstream audio formats. Nintendo Ultra64 Sound Format (USF) is a file format by Adam Gashlin that contains the sound-generating code from a Nintendo 64 video game. The basic USF file structure is a sub-format of PSF. References External links |
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[SOURCE: https://en.wikipedia.org/wiki/Jewish_Christianity] | [TOKENS: 10776] |
Contents Jewish Christianity Jewish Christians were the followers of a Jewish religious sect that emerged in Roman Judea during the late Second Temple period, under the Herodian tetrarchy (1st century AD). These Jews believed that Jesus was the prophesied Messiah and they continued their adherence to Jewish law. Jewish Christianity is the historical foundation of Early Christianity, which later developed into Nicene Christianity (which comprises the Catholic, Protestant, Eastern Orthodox, Oriental Orthodox, and Church of the East traditions) and other Christian denominations. Christianity started with Jewish eschatological expectations, and it developed into the worship of Jesus as the result of his earthly ministry in Galilee and Jerusalem, his crucifixion, and the post-crucifixion experiences of his followers. Jewish Christians drifted apart from Second Temple Judaism, and their form of Judaism eventually became a minority strand within mainstream Judaism, as it had almost disappeared by the 5th century AD. Jewish–Christian gospels are lost except for fragments, so there is a considerable amount of uncertainty about the scriptures which were used by this group of Christians. While previous scholarship viewed the First Jewish–Roman War and the destruction of the Second Temple (70 AD) as the main events, more recent scholarship tends to argue that the Bar Kochba revolt (132–136 AD) was the main factor in the separation of Christianity from Judaism. The split was a long-term process, in which the boundaries were not clear-cut. Etymology Early Jewish Christians (i.e., the Jewish followers of Jesus) referred to themselves as followers of "The Way" (ἡ ὁδός: hė hodós), probably coming from John 14:6, "I am the way and the truth and the life. No one comes to the Father except through me."[note 1] According to Acts 11:26, the term Christian (Koine Greek: Χριστιανός) was first used in reference to the disciples of Jesus in the city of Antioch, meaning "followers of Christ", by the non-Jewish inhabitants of Antioch. The earliest recorded use of the term Christianity (Koine Greek: Χριστιανισμός) is attested by the ante-Nicene Father and theologian Ignatius of Antioch (c. 107 AD). The term Jewish Christian is used in the academic fields of Biblical studies and historiography of early Christianity in order to distinguish the early Christians of Jewish origins from those of Gentile origins, both in discussion of the New Testament church and the 2nd and 3rd centuries AD. Origins Christianity arose as a separate movement within the syncretist Hellenistic world of the first century AD, dominated by Roman law and Greek culture. Hellenistic culture had a profound influence on the customs and practices of Jews, both in the Land of Israel and in the Diaspora. The inroads into Judaism gave rise to Hellenistic Judaism in the Jewish diaspora, which sought to establish a Hebraic-Jewish religious tradition within the culture and language of Hellenism. Hellenistic Judaism spread to Ptolemaic Egypt from the 3rd century BC and became a notable religio licita after the Roman conquest of Greece, Anatolia, Syria, Judea, and Egypt, until its decline in the 3rd century parallel to the rise of Gnosticism and Early Christianity. According to Burton Mack and a minority of commentators, the Christian vision of Jesus's death for the redemption of humankind was only possible in a Hellenised milieu.[note 2] During the early first century AD, there were many competing Jewish sects in the Holy Land, and those that became Rabbinic Judaism and Proto-orthodox Christianity were but two of these. There were Pharisees, Sadducees, and Zealots, but also other less influential sects, including the Essenes. The first century BC and first century AD saw a growing number of charismatic religious leaders contributing to what would become the Mishnah of Rabbinic Judaism; the ministry of Jesus would lead to the emergence of the first Jewish Christian community. The Gospels contain strong condemnations of the Pharisees, though there is a clear influence of Hillel's interpretation of the Torah in the Gospel sayings. However, certain laws followed the more stringent views of Shammai, such as regarding divorce. Belief in the resurrection of the dead in the Messianic age was a core Pharisaic doctrine. Most of Jesus's teachings were intelligible and acceptable in terms of Second Temple Judaism; what set early Christians apart from Jews was their belief that Jesus was the Messiah. While Christianity acknowledges only one ultimate Messiah, Judaism can be said to hold to a concept of multiple messiahs. The two most frequently mentioned are the Messiah ben Joseph and the Messiah ben David. Some scholars have argued that the idea of two messiahs—one "suffering" and the other fulfilling the traditionally conceived messianic role—was normative to ancient Judaism, predating Jesus, as can be seen from the Dead Sea Scrolls. Many would have viewed Jesus as one or both. Jewish messianism has its root in the apocalyptic literature of the 2nd century BC to the 1st century AD, promising a future "anointed" leader or Messiah to resurrect the Israelite "Kingdom of God", in place of the foreign rulers of the time. According to Shaye J.D. Cohen, the fact that Jesus did not establish an independent Israel, combined with his death at the hands of the Romans, caused many Jews to reject him as the Messiah.[note 3] Jews at that time were expecting a military leader as a Messiah, such as Bar Kokhba. Psalm 2 was another source of Jewish messianism, which was prompted by Pompey's conquest of Jerusalem in 63 BC. Early Christians cited this chapter to claim that Jesus was the Messiah and the son of god and negate Caesar's claim to the latter. Early Jewish Christianity Most historians agree that Jesus or his followers established a new Jewish sect, one that attracted both Jewish and gentile converts. The self-perception, beliefs, customs, and traditions of the Jewish followers of Jesus, Jesus's disciples and first followers, were grounded in first-century Judaism. According to New Testament scholar Bart D. Ehrman, a number of early Christianities existed in the first century AD, from which developed various Christian traditions and denominations, including proto-orthodoxy, Marcionites, Gnostics and the Jewish followers of Jesus. According to theologian James D. G. Dunn, four types of early Christianity can be discerned: Jewish Christianity, Hellenistic Christianity, Apocalyptic Christianity, and early Catholicism. The first followers of Jesus were essentially all ethnically Jewish or Jewish proselytes. Jesus was Jewish, preached to the Jewish people, and called from them his first followers. According to McGrath, Jewish Christians, as faithful religious Jews, "regarded their movement as an affirmation of every aspect of contemporary Judaism, with the addition of one extra belief – that Jesus was the Messiah." Conversely, Margaret Barker argues that early Christianity has roots in pre-Babylonian exile Israelite religion. The Expositor's Greek Testament interprets John 4:23 as being critical of Judaism and Samaritanism. John Elliott also characterizes early Christianity as an 'Israelite sect' or a 'renewal movement within Israel', where followers were called 'Galileans', 'Nazarenes' or members of 'the Way' by the native inhabitants of 1st century Judea. Paul the Apostle's criticism of the contemporary Jewish community most likely derive from Hebrew Bible theology rather than internalized antisemitism. Jewish Christians were the original members of the Jewish movement that later became Christianity. In the earliest stage the community was made up of all those Jews who believed that Jesus was the Jewish messiah. As Christianity grew and developed, Jewish Christians became only one strand of the early Christian community, characterised by combining the confession of Jesus as Christ with continued observance of the Torah and adherence to Jewish traditions such as Sabbath observance, Jewish calendar, Jewish laws and customs, circumcision, kosher diet and synagogue attendance, and by a direct kinship ties to the earliest followers of Jesus. The Jerusalem Church was an early Christian community located in Jerusalem, of which James the Just, the brother of Jesus, and Peter were leaders. Paul was in contact with this community.[citation needed] Legitimised by Jesus' appearance, Peter was the first leader of the Jerusalem ekklēsia. He was soon eclipsed in this leadership by James the Just, "the Brother of the Lord," which may explain why the early texts contain scarce information about Peter. According to Lüdemann, in the discussions about the strictness of adherence to the Jewish Law, the more conservative view of James the Just became more widely accepted than the more liberal position of Peter, who soon lost influence. According to Dunn, this was not an "usurpation of power," but a consequence of Peter's involvement in missionary activities. According to Eusebius' Church History 4.5.3–4: the first 15 Christian Bishops of Jerusalem were "of the circumcision". The Romans destroyed the Jewish leadership in Jerusalem in year 135 during the Bar Kokhba revolt, but it is traditionally believed the Jerusalem Christians waited out the Jewish–Roman wars in Pella in the Decapolis. The Pauline epistles incorporate creeds, or confessions of faith, of a belief in an exalted Christ that predate Paul, and give essential information on the faith of the early Jerusalem Church around James, brother of Jesus. This group venerated the risen Christ, who had appeared to several persons, as in Philippians 2:6–11, the Christ hymn, which portrays Jesus as an incarnated heavenly being and a subsequently exalted one. Early Christians regarded Jesus to be the Messiah, the promised king who would restore the Jewish kingdom and independence. Jewish messianism has its root in the apocalyptic literature of the 2nd century BC to 1st century BC, promising a future "anointed" leader or messiah to restore the Israelite "Kingdom of God", in place of the foreign rulers of the time. This corresponded with the Maccabean Revolt directed against the Seleucid Empire. Following the fall of the Hasmonean kingdom, it was directed against the Roman administration of Judea Province, which, according to Josephus, began with the formation of the Zealots and Sicarii during the Census of Quirinius (6 AD), although full-scale open revolt did not occur until the First Jewish–Roman War in 66 AD. According to the New Testament, people reported that they encountered Jesus after his crucifixion. They believed that he had been resurrected (belief in the resurrection of the dead in the Messianic Age was a core Pharisaic doctrine), and his resurrection provided the belief that he would soon return and fulfill the rest of Messianic prophecy such as the resurrection of the dead and the Last Judgment. 1 Corinthians 15:3-9 gives an early testimony, which was delivered to Paul, of the atonement of Jesus and the appearances of the risen Christ to "Cephas and the twelve", and to "James [...] and all the apostles", possibly reflecting a fusion of two early Christian groups: 3 For I delivered unto you first of all that which also I received: that Christ died for our sins according to the scriptures; 4 and that he was buried; and that he hath been raised on the third day according to the scriptures; 5 and that he appeared to Cephas; then to the twelve; 6 then he appeared to above five hundred brethren at once, of whom the greater part remain until now, but some are fallen asleep; 7 then he appeared to James; then to all the apostles; 8 and last of all, as to the [child] untimely born, he appeared to me also. The later canonical gospels provide more detailed narratives about the resurrection of Jesus. The New Testament accounts do not describe the resurrection itself, but rather accounts of appearances of Jesus. Jesus is described as the "firstborn from the dead", prōtotokos, the first to be raised from the dead, thereby acquiring the "special status of the firstborn as the preeminent son and heir".[web 1] Scholars debate on the historicity of specific details of these narratives such as the empty tomb and burial of Jesus along with the resurrection itself. While Conservative Christian scholars argue in favor of a real, concrete, material resurrection of a transformed body,[web 2] secular and Liberal Christian scholars typically argue in favor of more naturalistic explanations, such as the vision theory. Other scholars such as Craig L. Blomberg argue that there are sufficient arguments for the historicity of the resurrection. According to Géza Vermes, the concept of resurrection formed "the initial stage of the belief in his exaltation", which is "the apogee of the triumphant Christ". The focal concern of the early communities is the expected return of Jesus, and the entry of the believers into the kingdom of God with a transformed body. Proponents of the vision theory argue that cognitive dissonance influenced the inspiration for resurrection belief. According to Bart Ehrman, the resurrection appearances were a denial response to his disciples' sudden disillusionment following Jesus' death. According to Ehrman, some of his followers claimed to have seen him alive again, resulting in a multitude of stories which convinced others that Jesus had risen from death and was exalted to Heaven.[note 4] According to Paula Fredriksen, Jesus's influence on his followers was so great that they could not accept the failure implicit in his death. According to Fredriksen, before his death Jesus created amongst his believers such certainty that the Kingdom of God and the resurrection of the dead was at hand, that with few exceptions (John 20: 24–29) when they saw him shortly after his execution, they had no doubt that he had been resurrected, and the general resurrection of the dead was at hand. These specific beliefs were compatible with Second Temple Judaism. According to N.T. Wright, "there is substantial unanimity among the early Christian writers (first and second century) that Jesus had been bodily raised from the dead," "with (as the early Christians in their different ways affirmed) a 'transphysical' body, both the same and yet in some mysterious way transformed," reasoning that as a matter of "inference" both a bodily resurrection and later bodily appearances of Jesus are far better explanations for the empty tomb and the 'meetings' and the rise of Christianity than are any other theories. Rejecting the visionary theories, Wright notes that visions of the dead were always associated with spirits and ghosts, and never with bodily resurrection. Thus, Wright argues, a mere vision of Jesus would never lead to the unprecedented belief that Jesus was a physically resurrected corpse; at most, he would be perceived as an exalted martyr standing at the right hand of God. According to Johan Leman, the resurrection must be understood as a sense of presence of Jesus even after his death, especially during the ritual meals which were continued after his death. His early followers regarded him as a righteous man and prophet, who was therefore resurrected and exalted. In time, Messianistic, Isaiahic, apocalyptic and eschatological expectations were blended in the experience and understanding of Jesus, who came to be expected to return to earth. A point of debate is how Christians came to believe in a bodily resurrection, which was "a comparatively recent development within Judaism." According to Dag Øistein Endsjø, "The notion of the resurrection of the flesh was, as we have seen, not unknown to certain parts of Judaism in antiquity", but Paul rejected the idea of bodily resurrection, and it also can't be found within the strands of Jewish thought in which he was formed. According to Porter, Hayes and Tombs, the Jewish tradition emphasizes a continued spiritual existence rather than a bodily resurrection. Nevertheless, the origin of this idea is commonly traced to Jewish beliefs, a view against which Stanley E. Porter objected. According to Porter, Jewish and subsequent Christian thought were influenced by Greek thoughts, where "assumptions regarding resurrection" can be found, which were probably adopted by Paul.[note 5] According to Ehrman, most of the alleged parallels between Jesus and the pagan savior-gods only exist in the modern imagination, and there are no "accounts of others who were born to virgin mothers and who died as an atonement for sin and then were raised from the dead." According to Ehrman, a central question in the research on Jesus and early Christianity is how a human came to be deified in a relatively short time. Jewish Christians like the Ebionites had an Adoptionist Christology and regarded Jesus as the Messiah while rejecting his divinity, while other strands of Christian thought regard Jesus to be a "fully divine figure", a "high Christology". How soon the earthly Jesus was regarded to be the incarnation of God is a matter of scholarly debate. Philippians 2: 5–11 contains the Christ hymn, which portrays Jesus as an incarnated and subsequently exalted heavenly being: 5 Have this mind in you, which was also in Christ Jesus: 6 who, existing in the form of God, counted not the being on an equality with God a thing to be grasped, 7 but emptied himself, taking the form of a servant, being made in the likeness of men; 8 and being found in fashion as a man, he humbled himself, becoming obedient [even] unto death, yea, the death of the cross. 9 Wherefore also God highly exalted him, and gave unto him the name which is above every name; 10 that in the name of Jesus every knee should bow, of [things] in heaven and [things] on earth and [things] under the earth, 11 and that every tongue should confess that Jesus Christ is Lord, to the glory of God the Father. According to Dunn, the background of this hymn has been strongly debated. Some see it as influenced by a Greek worldview [note 6] while others have argued for Jewish influences. According to Dunn, the hymn contains a contrast with the sins of Adam and his disobedience. Dunn further notes that the hymn may be seen as a three-stage Christology, starting with "an earlier stage of mythic pre-history or pre-existence," but regards the humility-exaltation contrast to be the main theme. This belief in the incarnated and exalted Christ was part of Christian tradition a few years after his death and over a decade before the writing of the Pauline epistles. According to Burton L. Mack the early Christian communities started with "Jesus movements", new religious movements centering on a human teacher called Jesus. A number of these "Jesus movements" can be discerned in early Christian writings. According to Mack, within these Jesus-movements developed within 25 years the belief that Jesus was the Messiah, and had risen from death. According to Erhman, the gospels show a development from a "low Christology" towards a "high Christology". Yet, a "high Christology" seems to have been part of Christian traditions a few years after his death, and over a decade before the writing of the Pauline epistles, which are the oldest Christian writings. According to Martin Hengel, as summarized by Jeremy Bouma, the letters of Paul already contain a fully developed Christology, shortly after the death of Jesus, including references to his pre-existence. According to Hengel, the Gospel of John shows a development which builds on this early high Christology, fusing it with Jewish wisdom traditions, in which Wisdom was personified and descended into the world. While this "Logos Christology" is recognizable for Greek metaphysics, it is nevertheless not derived from pagan sources, and Hengel rejects the idea of influence from "Hellenistic mystery cults or a Gnostic redeemer myth". According to Margaret Baker, Christian trinitarian theology derived from pre-Christian Palestinian beliefs about angels. These beliefs revolved around the idea that there was a High God and several Sons of God, one of which was Yahweh. Yahweh was believed to manifest as an angel, human being or a Davidic king, which led some 1st century Palestinians to believe that Jesus was the Son of God, Messiah and Lord. The Book of Acts reports that the early followers continued daily Temple attendance and traditional Jewish home prayer. Other passages in the New Testament gospels reflect a similar observance of traditional Jewish piety such as fasting, reverence for the Torah and observance of Jewish holy days. Paul and the inclusion of gentiles According to Larry Hurtado, "the christology and devotional stance that Paul affirmed (and shared with others in the early Jesus-movement) was… a distinctive expression within a variegated body of Jewish messianic hopes." According to Dunn, Paul presents, in his epistles, a Hellenised Christianity.[note 7] According to Ehrman, "Paul's message, in a nutshell, was a Jewish apocalyptic proclamation with a seriously Christian twist."[page needed] Paul was in contact with the early Christian community in Jerusalem, led by James the Just.[note 8] Fragments of their beliefs in an exalted and deified Jesus, what Mack called the "Christ cult," can be found in the writings of Paul.[note 9] According to the New Testament, Saul of Tarsus first persecuted the early Jewish Christians, but then converted.[note 10] He adopted the name Paul and started proselytizing among the gentiles, adopting the title "Apostle to the Gentiles". Saint Peter, Paul and other Jewish Christians told the Jerusalem council that Gentiles were receiving the Holy Spirit, and so convinced the leaders of the Jerusalem Church to allow gentile converts exemption from most Jewish commandments at the Council of Jerusalem, which opened the way for a much larger Christian Church, extending far beyond the Jewish community. While Paul was inspired by the early Christian apostles, his writings elaborate on their teachings, and also give interpretations which are different from other teachings as documented in the canonical gospels, early Acts and the rest of the New Testament, such as the Epistle of James. Some early Jewish Christians believed that non-Jews must convert to Judaism and adopt Jewish customs in order to be saved. Paul criticized Peter for himself declining to eat with gentiles during a visit by some of these Christians and therefore presenting a poor example to non-Jews joining the Christians. Paul's close coworker Barnabas sided with Peter in this dispute. Those that taught that gentile converts to Christianity ought to adopt more Jewish practices to be saved, however, were called "Judaizers". Though the Apostle Peter was initially sympathetic, the Apostle Paul opposed the teaching at the Incident at Antioch (Gal. 2:11–21) and at the Council of Jerusalem (Acts 15:6–35). Nevertheless, Judaizing continued to be encouraged for several centuries, particularly by Jewish Christians. Paul opposed the strict applications of Jewish customs for gentile converts, and argued with the leaders of the Jerusalem Church to allow gentile converts exemption from most Jewish commandments at the Council of Jerusalem, where Paul met with the "pillars of Jerusalem Church" (whom Paul identifies as Peter, Jesus's brother James, and John) over whether gentile Christians need to keep the Jewish Law and be circumcised. According to Acts, James played a prominent role in the formulation of the council's decision (Acts 15:19 NRSV) that circumcision was not a requirement. In Galatians, Paul says that James, Peter and John will minister to the "circumcised" (in general Jews and Jewish proselytes) in Jerusalem, while Paul and his fellows will minister to the "uncircumcised" (in general, gentiles) (Galatians 2:9).[note 11] The Catholic Encyclopedia claims: "St. Paul's account of the incident leaves no doubt that St. Peter saw the justice of the rebuke." However, L. Michael White's From Jesus to Christianity claims: "The blowup with Peter was a total failure of political bravado, and Paul soon left Antioch as persona non grata, never again to return." Scholar James D. G. Dunn, who coined the phrase "New Perspective on Paul", has proposed that Peter was the "bridge-man" (i.e., the pontifex maximus) between the two other "prominent leading figures" of early Christianity: Paul and James, the brother of Jesus. Talmud scholar Daniel Boyarin has argued that Paul's theology of the spirit is more deeply rooted in Hellenistic Judaism than generally believed. In A Radical Jew, Boyarin argues that the Apostle Paul combined the life of Jesus with Greek philosophy to reinterpret the Hebrew Bible in terms of the Platonic opposition between the ideal (which is real) and the material (which is false). Judaism is a material religion, in which membership is based not on belief but rather descent from Abraham, physically marked by circumcision, and focusing on how to live this life properly. Paul saw in the symbol of a resurrected Jesus the possibility of a spiritual rather than corporeal Messiah. He used this notion of Messiah to argue for a religion through which all people—not just descendants of Abraham—could worship the God of Abraham. Unlike Judaism, which holds that it is the proper religion only of the Jews, Pauline Christianity claimed to be the proper religion for all people. By appealing to the Platonic distinction between the material and the ideal, Paul showed how the spirit of Christ could provide all people a way to worship the God who had previously been worshipped only by Jews, Jewish proselytes and God-fearers, although Jews claimed that he was the one and only God of all. Boyarin roots Paul's work in Hellenistic Judaism and insists that Paul was thoroughly Jewish, but argues that Pauline theology made his version of Christianity appealing to gentiles. Boyarin also sees this Platonic reworking of both Jesus's teachings and Pharisaic Judaism as essential to the emergence of Christianity as a distinct religion, because it justified a Judaism without Jewish law. Split of early Christianity and Judaism As Christianity grew throughout the gentile world, the developing Christian tradition diverged from its Jewish and Jerusalemite roots. Historians continue to debate the precise moment when early Christianity established itself as a new religion, apart and distinct from Judaism. It is difficult to trace the process by which the two separated or to know exactly when this began. Jewish Christians continued to worship in synagogues together with fellow Jews for centuries. Some scholars have found evidence of continuous interactions between Jewish-Christian and Rabbinic movements from the mid-to late second century CE to the fourth century CE. Philip S. Alexander characterizes the question of when Christianity and Judaism parted company and went their separate ways as "one of those deceptively simple questions which should be approached with great care". The first centuries of belief in Jesus were characterized by great uncertainty and religious creativity. "Groups of believers coalesced into proto-factions of like-minded individuals, and then into factions. […] The degree of doctrinal cohesion of these groups is unknown. As attested by the extant texts, confusion and chaos were rampant." At first, early belief in Jesus was very much a local phenomenon with some degree of coordination among communities on a regional basis. Both Early Christianity and Early Rabbinic Judaism were far less orthodox and less theologically homogeneous than in modern day. Both religions were significantly influenced by Hellenistic religion and borrowed allegories and concepts from Classical Hellenistic philosophy and the works of the Greek-speaking Jewish authors of the end of the Second Temple period. The two schools of thought eventually firmed up their respective "norms" and doctrines, notably by increasingly diverging on key issues such as the status of "purity laws", the validity of Judeo-Christian messianic beliefs, and, more importantly, the use of Koine Greek and Latin as sacerdotal languages replacing Biblical Hebrew. Heinrich Graetz postulated a Council of Jamnia in 90 that excluded Christians from the synagogues, but this is disputed. Jewish Christians continued to worship in synagogues for centuries. According to historian Shaye J. D. Cohen, "the separation of Christianity from Judaism was a process, not an event", in which the church became "more and more gentile, and less and less Jewish".[note 12] According to Cohen, early Christianity ceased to be a Jewish sect when it ceased to observe Jewish practices, such as circumcision. According to Cohen, this process ended in 70 AD, after the great revolt, when various Jewish sects disappeared , and Pharisaic Judaism evolved into Rabbinic Judaism, and Christianity emerged as a distinct religion. Talmudist and professor of Jewish studies Daniel Boyarin proposes a revised understanding of the interactions between nascent Christianity and Judaism in late antiquity, viewing the two "new" religions as intensely and complexly intertwined throughout this period. According to Boyarin, Judaism and Christianity "were part of one complex religious family, twins in a womb", for at least three centuries.[note 13] Alan Segal also states that "one can speak of a 'twin birth' of two new Judaisms, both markedly different from the religious systems that preceded them".[note 14] According to Robert Goldenberg, it is increasingly accepted among scholars that "at the end of the 1st century AD there were not yet two separate religions called 'Judaism' and 'Christianity'".[note 15] Jewish Christianity fell into decline during the Jewish–Roman wars (66–135) and the growing anti-Judaism perhaps best personified by Marcion of Sinope (c. 150). With persecution by the Nicene Christians from the time of the Roman Emperor Constantine in the 4th century, Jewish Christians sought refuge outside the boundaries of the Empire, in Arabia and further afield. Within the Empire and later elsewhere it was dominated by the gentile-based Christianity which became the State church of the Roman Empire and which took control of sites in the Holy Land such as the Church of the Holy Sepulchre and the Cenacle and appointed subsequent Bishops of Jerusalem. Full-scale, open revolt against the Romans occurred with the First Jewish–Roman War in 66 AD. In 70 AD, Jerusalem was besieged and the Second Temple was destroyed. This event was a profoundly traumatic experience for the Jews, who were now confronted with difficult and far-reaching questions.[note 16] After the destruction of the Second Temple in 70 AD, sectarianism largely came to an end. The Zealots, Sadducees, and Essenes disappeared, while the Early Christians and the Pharisees survived, the latter transforming into Rabbinic Judaism, today known simply as "Judaism". The term "Pharisee" was no longer used, perhaps because it was a term more often used by non-Pharisees, but also because the term was explicitly sectarian, and the rabbis claimed leadership over all Jews. Many historians argue that the gospels took their final form after the Great Revolt and the destruction of the Temple, although some scholars put the authorship of Mark in the 60s. Strack theorizes that the growth of a Christian canon (the New Testament) was a factor that influenced the rabbis to record the oral law in writing.[note 17] A significant contributing factor to the split was the two groups' differing theological interpretations of the Temple's destruction. Rabbinic Judaism saw the destruction as a chastisement for neglecting the Torah. The early Christians, however, saw it as God's punishment for the Jewish rejection of Jesus, leading to the claim that the 'true' Israel was now the Church. Jews believed this claim was scandalous. According to Fredriksen, since early Christians believed that Jesus had already replaced the Temple as the expression of a new covenant, they were relatively unconcerned with the destruction of the Temple during the First Jewish-Roman War. In Christian circles, the term "Nazarene" later came to be used as a label for those Christians who were faithful to Jewish law; in particular, it was used as a label for a certain sect of Christians. At first, these Jewish Christians, originally the central group in Christianity, were not declared unorthodox but they were later excluded from the Jewish community and denounced. Some Jewish Christian groups, such as the Ebionites, were accused of having unorthodox beliefs, particularly in relation to their views of Christ and gentile converts. The Nazarenes, who held to orthodoxy but adhered to Jewish law, were not deemed heretical until the dominance of orthodoxy in the 4th century. The Ebionites may have been a splinter group of Nazarenes, with disagreements over Christology and leadership. After the condemnation of the Nazarenes, the term "Ebionite" was often used as a general pejorative for all related "heresies". Jewish Christians constituted a community which was separate from the Pauline Christians. There was a post-Nicene "double rejection" of the Jewish Christians by adherents of gentile Christianity and Rabbinic Judaism. It is believed that no direct confrontation occurred between the adherents of gentile Christianity and the adherents of Judaic Christianity. However, by this time, the practice of Judeo-Christianity was diluted by internal schisms and external pressures. Gentile Christianity remained the sole strand of orthodoxy and it imposed itself on the previously Jewish Christian sanctuaries, taking full control of those houses of worship by the end of the 5th century. Growing anti-Jewish sentiment among early Christians is evidenced by the Epistle of Barnabas, a late-1st/early-2nd century letter attributed to Barnabas, the companion of Paul mentioned in the Acts of the Apostles, although it could be by Barnabas of Alexandria, or an anonymous author using the name Barnabas. In no other writing of that early time is the separation of the gentile Christians from observant Jews so clearly insisted upon. Christians, according to Barnabas, are the only true covenant people, and the Jewish people are no longer in covenant with God. Circumcision and the entire Jewish sacrificial and ceremonial system have been abolished in favor of "the new law of our Lord Jesus Christ". Barnabas claims that Jewish scriptures, rightly understood, serve as a foretelling of Christ and its laws often contain allegorical meanings. While 2nd-century Marcionism rejected all Jewish influence on Christianity, Proto-orthodox Christianity instead retained some of the doctrines and practices of 1st-century Judaism while rejecting others.[note 18] They held the Jewish scriptures to be authoritative and sacred, employing mostly the Septuagint or Targum translations, and adding other texts as the New Testament canon developed. Christian baptism was another continuation of a Judaic practice. Later Jewish Christianity The Ebionites were a Jewish Christian movement that existed during the early centuries of the Christian Era. They show strong similarities with the earliest form of Jewish Christianity, and their specific theology may have been a "reaction to the law-free Gentile mission." They regarded Jesus as the Messiah while rejecting his divinity and his virgin birth, and insisted on the necessity of following Jewish law and rites. They used the Gospel of the Ebionites, one of the Jewish–Christian gospels; the Hebrew Book of Matthew starting at chapter 3; revered James the brother of Jesus (James the Just); and rejected Paul the Apostle as an apostate from the Law. Their name (Ancient Greek: Ἐβιωναῖοι Ebionaioi, derived from Hebrew אביונים ebyonim, ebionim, meaning "the poor" or "poor ones") suggests that they placed a special value on voluntary poverty. Distinctive features of the Gospel of the Ebionites include the absence of the virgin birth and of the genealogy of Jesus; an Adoptionist Christology, in which Jesus is chosen to be God's Son at the time of his Baptism; the abolition of the Jewish sacrifices by Jesus; and an advocacy of vegetarianism. The Nazarenes originated as a sect of first-century Judaism. The first use of the term "sect of the Nazarenes" is in the Book of Acts in the New Testament, where Paul is accused of being a ringleader of the sect of the Nazarenes ("πρωτοστάτην τε τῆς τῶν Ναζωραίων αἱρέσεως"). The term then simply designated followers of "Yeshua Natzri" (Jesus the Nazarene),[note 19] but in the first to fourth centuries the term was used for a sect of followers of Jesus who were closer to Judaism than most Christians. They are described by Epiphanius of Salamis and are mentioned later by Jerome and Augustine of Hippo, who made a distinction between the Nazarenes of their time and the "Nazarenes" mentioned in Acts 24:5. The Nazarenes were similar to the Ebionites, in that they considered themselves Jews, maintained an adherence to the Law of Moses, and used only the Aramaic Gospel of the Hebrews, rejecting all the Canonical gospels. However, unlike half of the Ebionites, they accepted the Virgin Birth. The Gospel of the Hebrews was a syncretic Jewish–Christian gospel, the text of which is lost; only fragments of it survive as brief quotations by the early Church Fathers and in apocryphal writings. The fragments contain traditions of Jesus' pre-existence, incarnation, baptism, and probable temptation, along with some of his sayings. Distinctive features include a Christology characterized by the belief that the Holy Spirit is Jesus' Divine Mother; and a first resurrection appearance to James, the brother of Jesus, showing a high regard for James as the leader of the Jewish Christian church in Jerusalem. It was probably composed in Greek in the first decades of the 2nd century, and is believed to have been used by Greek-speaking Jewish Christians in Egypt during that century. The Gospel of the Nazarenes is the title given to fragments of one of the lost Jewish-Christian Gospels of Matthew partially reconstructed from the writings of Jerome. Elcesaites The Elcesaites (also spelled Elkesaites or Elchasaites) were a Jewish-Christian sect that emerged in the early 2nd century CE, primarily in the region of Syria or Mesopotamia. The group is named after its founder, Elchasai (or Elxai), a prophet who claimed to have received a revelation from a heavenly book delivered by an angel of enormous size. The teachings of the Elcesaites are known mostly through the writings of early Church Fathers, particularly Hippolytus of Rome, Origen, and Epiphanius of Salamis. The Elcesaites combined elements of Jewish law, early Christianity, Gnosticism, and apocalyptic thought. They emphasized strict observance of the Mosaic Law, including circumcision, ritual purity, and sabbath keeping, while also promoting baptism as a means of forgiveness and spiritual cleansing. The sect believed in repeated baptisms for the remission of sins and rejected certain parts of Pauline Christianity, particularly doctrines about the divinity of Christ and the abolition of the Law. One of the distinctive aspects of Elcesaite belief was their rejection of animal sacrifice and their focus on angelic intermediaries. They also held to a unique cosmology, including a belief in giant angelic beings and a dualistic view of the cosmos. Their sacred book was said to have originated during the reign of the Roman emperor Trajan (98–117 CE). The Elcesaites had an influence on later sects such as the Ebionites and possibly on early Islamic thought. By the 4th century, references to the Elcesaites become increasingly rare, suggesting that the movement had either declined or merged with other religious groups. Cerinthians The Cerinthians were a Christian sect in the late 1st and early 2nd centuries CE, associated with the teachings of Cerinthus, a Jewish-Christian teacher who lived in Asia Minor, possibly in Ephesus. Most of what is known about Cerinthus and his followers comes from early Church Fathers such as Irenaeus, Hippolytus, and Epiphanius, as well as from critical remarks attributed to the Apostle John. Cerinthus taught a form of Christian Gnosticism that emphasized a strict adherence to Jewish law while introducing speculative theological concepts. He distinguished between Jesus the man and the divine "Christ," asserting that the Christ descended upon Jesus at his baptism and departed before the crucifixion. This belief implied a denial of the full incarnation and suffering of Christ, which led to sharp opposition from proto-orthodox Christians. According to Irenaeus, Cerinthus believed in a materialistic view of the Kingdom of God, teaching that after the resurrection, there would be a thousand-year reign of Christ on Earth filled with physical pleasures, such as eating, drinking, and marriage. This millenarian doctrine was controversial and rejected by many early Church leaders. Cerinthus also rejected the idea that the supreme God had created the world, teaching instead that the world was made by a lesser, ignorant power (a common theme in Gnostic cosmology). His views placed him at odds with both orthodox Christians and more developed Gnostic sects. While the Cerinthians did not become a lasting or widely influential movement, their teachings reflect the diversity and theological debates present in early Christianity. The opposition to Cerinthus by figures such as John the Apostle—who, according to tradition, once fled a bathhouse upon learning Cerinthus was inside—highlights the intensity of early doctrinal disputes. The Saint Thomas Christians of Kerala, known locally as Nasranis or Nazarenes, have long been associated with Jewish and Hebrew origins. This nomenclature was historically used to describe early Jewish Christians, suggesting that the Nasrani community have roots in Jewish communities of the Near East. Apostle Thomas, during his missionary endeavors, preached to dispersed Israelite communities in India, aligning with patterns observed in other apostles' missions. Dr. Ray A Pritz, in his thesis Nazarene Jewish Christianity mentions that "Christian" (followers of Christ) was originally used by the non-christians to designate believers among the Gentiles while the Nazarenes was already used in Israel to describe Jewish adherents to the new Messianic sect. Further supporting this hypothesis are cultural and linguistic parallels between the Nasranis and Jewish communities in Kerala, such as shared traditions and place names with Hebrew connotations. Also the fact that they enjoyed elite and commercial rights by the Chera king could've been possible since they share with the jews having received the royal charter engraved on copper plates from Cheraman Perumal would be only possible if they were ethnically jews because lower caste converts didn't have this privilege. They had the rights to sit before kings, ride horses, elephants, chariots and wear headgears just like the brahmins.They were also given lordship over seventeen underprivileged castes. They also practiced and till today practices strict endogamy among themselves, also conversions are discouraged in the non-Catholic traditional Syrian Christian denomination. Even catholic nazranis do not let converts or non nazarenes to participate or involve in their practices and customs and are given separate dioceses/parishes. Until the arrival of the Portuguese they had strict dietary customs, and observed Jewish holidays such as passover and yom kippur.Till today Pesaha is observed and unleavened bread similar to a matzah is prepared in every Syrian Christian household on Maundy Thursday.In fact Y-DNA genetic signatures have been reported which indicate clear Cohen (Aaronic) ancestry, Levite ancestry and Judahite ancestry. The brahmin origin of these Christians are merely namesake which was the term used to denote priests in the Indian languages then is another claim. It is also a fact that the Apostle Thomas came in search for the jews in India first to preach the gospel. The Knanaya of India descend from Syriac Christians of Jewish origin who migrated to India from Mesopotamia between the 4th and 9th century under the leadership of the merchant Knai Thoma. In the modern age, they are another minority ethnic group found among the St. Thomas Christians. The culture of the Knanaya has been analyzed by a number of Jewish scholars who have noted that the community maintains striking correlations to Jewish communities, in particular the Cochin Jews of Kerala. The culture of the Knanaya is a blend of Jewish-Christian, Syriac, and Hindu customs reflecting both the foreign origin of the community and the centuries that they have lived as a minority community in India. The unique combination of ethnocultural traits inhered from the fusion of a Greek cultural base, Hellenistic Judaism and Roman civilization gave birth to the distinctly Antiochian "Middle Eastern-Roman" Christian traditions of Cilicia (Southeastern Turkey) and Syria/Lebanon: The mixture of Roman, Greek, and Jewish elements admirably adapted Antioch for the great part it played in the early history of Christianity. The city was the cradle of the church. Members of these communities still call themselves Rûm which literally means "Eastern Roman", "Byzantine" or "Asian Greek" in Turkish, Persian and Arabic. The term "Rûm" is used in preference to "Ionani" or "Yāvāni" which means "European Greek" or "Ionian" in Classical Arabic and Ancient Hebrew. Most Middle-Eastern "Melkites" or "Rûms", can trace their ethnocultural heritage to the Southern Anatolian ('Cilician') and Syrian Hellenized Greek-speaking Jewish communities of the past and Greek settlers ('Greco-Syrians'), founders of the original "Antiochian Greek" communities of Cilicia, Northwestern Syria and Lebanon. Counting members of the surviving minorities in the Hatay Province of Turkey, in Syria, Lebanon, Northern Israel and their relatives in the diaspora, there are more than 1.8 million Greco-Melkite Christians residing in the Northern-MENA, the US, Canada and Latin America today, i.e., Greek Orthodox and Greek Catholic Christians under the ancient jurisdictional authority of the patriarchates of Antioch and Jerusalem ("Orthodox" in the narrow sense) or their Uniat offshoots ("Catholic" or "united" with Rome). Today, certain families are associated with descent from the early Jewish Christians of Antioch, Damascus, Judea, and Galilee. Some of those families carry surnames such as Youhanna (John), Hanania (Ananias), Sahyoun (Zion), Eliyya/Elias (Elijah), Chamoun/Shamoun (Simeon/Simon), Semaan/Simaan (Simeon/Simon), Menassa (Manasseh), Salamoun/Suleiman (Solomon), Yowakim (Joachim), Zakariya (Zacharias), Kolath and others. In Islamic origins In the field of Quranic studies, it has long been argued that Jewish Christianity played an important role in the formation of Quranic conceptions of Christians in Muhammad's Arabia. The first major author to assert that Jewish Christianity played an important role in the formation of Quranic tradition was Aloys Sprenger in his 1861 book Das Leben und die Lehre des Moḥammad. Since then, numerous other authors have followed this argument, including Adolf von Harnack, Hans-Joachim Schoeps, M. P. Roncaglia, and others. The most recent notable defenders of this thesis have been Francois de Blois and Holger Zellentin, the latter in the context of his research into the historical context of the legal discourses present in the Quran especially as it resembles the Syriac recension of the Didascalia Apostolorum and the Clementine literature. In turn, several critics of this thesis have appeared, most notably Sidney Griffith. De Blois provides three arguments for the importance of Jewish Christianity: the use of the term naṣārā in the Quran (usually taken as a reference to Christians, as in Griffith's work) which resembles the Syriac term used for Nazoreans, the resemblance between the description of Mary as part of the Trinity with traditions attributed to the Gospel of the Hebrews, and dietary restrictions associated with the Christian community. In turn, Shaddel argued that naṣārā merely may have etymologically originated as such because Nazoreans were the first to interact with the Arabic community in which this term came into use. Alternative sources as well as hyperbole may explain the reference to Mary in the Trinity. However, Shaddel does admit the ritual laws as evidence for the relevance of Jewish Christians. In the last few years, the thesis for the specific role played by Jewish Christians has been resisted by Gabriel Said Reynolds, Stephen Shoemaker, and Guillaume Dye. Contemporary movements In modern times, the term "Jewish Christian" or "Christian Jew" is generally used in reference to ethnic Jews who have either converted to or been raised in Christianity.[citation needed] They are mostly members of Catholic, Protestant and Orthodox Christian congregations,[citation needed] and they are generally assimilated into the Christian mainstream, but they may also retain a strong sense of attachment to their Jewish identity. Some Jewish Christians also refer to themselves as "Hebrew Christians". The Hebrew Christian movement of the 19th century was an initiative which was largely led and integrated by Anglicans, and they included figures such as Michael Solomon Alexander, Bishop of Jerusalem 1842–1845; some figures, such as Joseph Frey, the founder of the London Society for Promoting Christianity amongst the Jews, were more assertive of their Jewish identity and independence. The 19th century saw at least 250,000 Jews convert to Christianity according to existing records of various societies. According to data which was provided by the Pew Research Center, as of 2013, about 1.6 million adult American Jews identify themselves as Christians, and most of them identify themselves as Protestants. According to the same data, most of the Jews who identify themselves as some sort of Christian (1.6 million) were either raised as Jews or are Jews by ancestry. According to a 2012 study, 17% of Jews in Russia identify themselves as Christians. Messianic Judaism is a religious movement which incorporates elements of Judaism with the tenets of Christianity. Its adherents, many of whom are ethnically Jewish, worship in congregations which recite Hebrew prayers. They also baptize messianic believers who are of the age of accountability (able to accept Jesus as the Messiah), often observe kosher dietary laws and keep Saturday as the Sabbath. Additionally, they recognize the Christian New Testament as holy scripture, though most of them do not use the label "Christian" to describe themselves. The two groups are not completely distinct; some adherents, for example, favor Messianic congregations but they freely choose to live in both worlds, such as the theologian Arnold Fruchtenbaum, the founder of Ariel Ministries. The Hebrew Catholics are a movement of Jews who converted to Catholicism and Catholics of non-Jewish origin who choose to keep Jewish customs and traditions in light of Catholic doctrine. See also Notes References Bibliography External links |
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[SOURCE: https://en.wikipedia.org/wiki/Bersabe] | [TOKENS: 1105] |
Contents Bersabe Bersabe (Hebrew: בְּאֵר שֶׁבַע, romanized: Bəʾēr Ševaʿ; Ancient Greek: Βηρσαβέ, romanized: Bērsabé, or Βηρσουβαί, Bērsoubaí), also known as Beersheba of Galilee, was a Second Temple period Jewish village located near the town of Kefar Hananya which marked the boundary between the Upper Galilee and the Lower Galilee, as described by Josephus, with Upper Galilee stretching from Bersabe in the Beit HaKerem Valley to Baca (Peki'in) in the north. Bersabe was one of several towns and villages of Galilee fortified by Josephus during the First Jewish–Roman War, being one of the most defensible positions and where insurgents from across Galilee had taken up refuge against the Imperial Roman army when the surrounding countryside was plundered. The ancient village has been identified with the present site of Khirbet es-Saba, a hilltop ruin within a distance of less than a kilometer of the village Kafr 'Inan (Kefr ʿAnan), at the eastern fringe of the Beit HaKerem Valley, and rising some 472 metres (1,549 ft) above sea-level. The same site has been rendered by other authors under the name Khirbet Abu esh-Shebaʿ, a little northwest of Kefr ʿAnan and closely adjoining Farradiyya/Parod to their southwest. The site lies 5 kilometres (3.1 mi) eastward of the Arab town of er-Rameh, along Route 85, and about 8 kilometres (5.0 mi) southwest of Safed. In 1873, Kitchener and Conder, on a surveying mission with the Palestine Exploration Fund, visited the site and mentioned it as being "a large ruin, which stands upon the terraced hill top." A survey later conducted at the site reveal that the village had occupied an area of about 70 dunams (17.3 acres). From a prospect on Mount Kefir in the Mount Meron range, as one looks out over the hilltop ruin of Bersabe, the square layout or lines where once stood the walls of the town can still be distinguished. The line of the ancient wall extended over an area comprising the upper third of the hill. The thickness of the northernmost wall, where the hill was easily accessible, is measured at 2.8 metres (9.2 ft), and was built with three semi-circular watch towers. The easternmost wall was built in a zig-zag configuration. The walls were constructed of fieldstones. Fate of town's defenders From one end of Galilee to the other there was an orgy of fire and bloodshed; no horror, no calamity was spared; the only safety for the fugitive inhabitants was in the towns which Josephus had fortified.... — Josephus, The Jewish War 3.59 (3.4.1) There are no surviving written records on the fate of the town's defenders, although Josephus alludes to it in his Life's Autobiography (§ 65) where he writes: “...I was in the power of the Romans before Jerusalem was besieged, and before the same time, Jotapata was taken by force, as well as many other fortresses, and a great many of the Galileans fell in the war.” Elsewhere, Josephus writes (The Jewish War 4.7) that after the fall of Tarichaea, all but two of the rebel fortresses and strongholds surrendered to the Roman army. This would have happened in the second year of the war, in the 13th year of Nero's reign, sometime between the capture of Jotapata (in the lunar month of Tammuz) and the capture of Tarichaea (in the month of Elul that same year), and which effectually brought an end to the war in Galilee. The usual Roman procedure in cases involving open rebellion was to kill the able-bodied men who rose up in rebellion, but to sell into slavery all captive women and children. Archaeological finds Potsherds from the Iron Age, Persian, Hellenistic, Roman, Byzantine and Arab periods have been found on the site. Only one square near the ancient wall has been excavated. Mordechai Aviam who excavated the site has noted that the ancient ruin has yielded large quantities of "Galilean Coarse Ware" (GCW) and other Hellenistic and Early Roman shards and coins. Coins found at the site date from the fourth century BCE to the second century CE. Unidentified razed structures and rock-cut cisterns are scattered across the hilltop. The site also abounds with karstic caves. Another discovery consists of a fragmented bronze base along with the preserved foot of a statuette depicting the Egyptian bull deity Apis. The base features a trilingual inscription in Hebrew/Aramaic, Hieroglyphic, and Greek. Pottery found at the site proves the continuation of the settlement deep into the 3rd century CE. Further reading Gallery References Bibliography External links |
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[SOURCE: https://en.wikipedia.org/wiki/Digital_media] | [TOKENS: 5099] |
Contents Digital media In mass communication, digital media is any communication media that operates in conjunction with various encoded machine-readable data formats. Digital content can be created, viewed, distributed, modified, listened to, and preserved on a digital electronic device, including digital data storage media (in contrast to analog electronic media) and digital broadcasting. Digital is defined as any data represented by a series of digits, and media refers to methods of broadcasting or communicating this information. Together, digital media refers to mediums of digitized information broadcast through a screen and/or a speaker. This also includes text, audio, video, and graphics are transmitted over the internet for consumption on digital devices. Digital media platforms, such as YouTube, Kick, and Twitch, accounted for viewership rates of 27.9 billion hours in 2020. A contributing factor to its part in what is commonly referred to as the digital revolution can be attributed to the use of interconnectivity. Examples Examples of digital media include software, digital images,web pages and websites, social media, digital data and databases, digital audio such as MP3, electronic documents and electronic books. Digital media often contrasts with print media, such as printed books, newspapers and magazines, and other traditional or analog media, such as photographic film, audio tapes or video tapes. Digital media has had a significantly broad and complex impact on society and culture. Combined with the Internet and personal computing, digital media has caused disruptive innovation in publishing, journalism, public relations, entertainment, education, commerce and politics. Digital media has also posed new challenges to copyright and intellectual property laws, fostering an open content movement in which content creators voluntarily give up some or all of their legal rights to their work. The ubiquity of digital media and its effects on society suggest that we are at the start of a new era in industrial history, called the Information Age, perhaps leading to a paperless society in which all media are produced and consumed on computers. However, challenges to a digital transition remain, including outdated copyright laws, censorship, the digital divide, and the spectre of a digital dark age, in which older media becomes inaccessible to new or upgraded information systems. Digital media has a significant, wide-ranging and complex impact on society and culture. Business model Digital media platforms like YouTube operate through a triple-product business model in which they provide information and entertainment (infotainment) to the public, often at no cost, while also capturing their attention and collecting user data to sell to advertisers. This business model aims to maximize consumer engagement on the platform. Paid media refers to promotional channels that marketers pay to use, including traditional media (e.g., television, radio, print, and outdoor advertising) and online and digital media (e.g., paid search ads, web and social media display ads, mobile ads, and email marketing). This model compels businesses to develop sponsored media and then pay social media platforms like Instagram to show it to customers in their newsfeeds. These customers become exposed to paid media, sometimes referred to as promoted or sponsored posts. Owned media refers to digital assets and channels that a company or individual controls and manages. This includes websites, social media profiles (e.g., Facebook), blogs, and any other content platforms owned and operated by the entity. An entity is the owner or controller of the channel, such as a business or an individual managing their online presence. Earned media refers to public relations channels such as television, newspapers, blogs, or video sites that do not require direct payment or control by marketers but are included because viewers, readers, or users are interested in them. Free media is essentially online word-of-mouth, typically in the form of "viral" trends, mentions, shares, retweets, reviews, recommendations, or content from third-party websites. When one's product or service is so good that users cannot help but post it on their social media, they get a lot of "earned media." They gain media credibility compared to other forms of credibility, becoming more transparent. History Codes and information by machines were first conceptualized by Charles Babbage in the early 1800s. Babbage imagined that these codes would give him instructions for his Motor of Difference and Analytical Engine, machines that Babbage had designed to solve the problem of error in calculations. Between 1822 and 1823, the mathematician Ada Lovelace wrote the first instructions for calculating numbers on Babbage engines. Lovelace's instructions are now believed to be the first computer program. Although the machines were designed to perform analysis tasks, Lovelace anticipated the possible social impact of computers and program writing. "For in the distribution and combination of truths and formulas of analysis, which may become easier and more quickly subjected to the mechanical combinations of the engine, the relationships and the nature of many subjects in which science necessarily relates in new subjects, and more deeply researched […] there are in all extensions of human power or additions to human knowledge, various collateral influences, in addition to the primary and primary object reached." Other old machine readable media include instructions for pianolas and weaving machines. It is estimated that in the year 1986 less than 1% of the world's media storage capacity was digital and in 2007 it was already 94%. The year 2002 is assumed to be the year when human kind was able to store more information in digital than in analog media (the "beginning of the digital age"). Though they used machine-readable media, Babbage's engines, player pianos, jacquard looms and many other early calculating machines were themselves analog computers, with physical, mechanical parts. The first truly digital media came into existence with the rise of digital computers. Digital computers use binary code and Boolean logic to store and process information, allowing one machine in one configuration to perform many different tasks. The first modern, programmable, digital computers, the Manchester Mark 1 and the EDSAC, were independently invented between 1948 and 1949. Though different in many ways from modern computers, these machines had digital software controlling their logical operations. They were encoded in binary, a system of ones and zeroes that are combined to make hundreds of characters. The 1s and 0s of binary are the "digits" of digital media. While digital media did not come into common use until the late 20th century, the conceptual foundation of digital media is traced to the work of scientist and engineer Vannevar Bush and his celebrated essay "As We May Think", published in The Atlantic Monthly in 1945. Bush envisioned a system of devices that could be used to help scientists, doctors, and historians, among others, to store, analyze and communicate information. Calling this then-imaginary device a "memex", Bush wrote: The owner of the memex, let us say, is interested in the origin and properties of the bow and arrow. Specifically, he is studying why the short Turkish bow was apparently superior to the English long bow in the skirmishes of the Crusades. He has dozens of possibly pertinent books and articles in his memex. First, he runs through an encyclopedia, finds an interesting but sketchy article, and leaves it projected. Next, in history, he finds another pertinent item and ties the two together. Thus he goes, building a trail of many items. Occasionally he inserts a comment of his own, either linking it into the main trail or joining it by a side trail to a particular item. When it becomes evident that the elastic properties of available materials had a great deal to do with the bow, he branches off on a side trail which takes him through textbooks on elasticity and tables of physical constants. He inserts a page of longhand analysis of his own. Thus he builds a trail of his interest through the maze of materials available to him. Bush hoped that the creation of this memex would be the work of scientists after World War II. Though the essay predated digital computers by several years, "As We May Think" anticipated the potential social and intellectual benefits of digital media and provided the conceptual framework for digital scholarship, the World Wide Web, wikis and even social media. It was recognized as a significant work even at the time of its publication. Impact Since the 1960s, computing power and storage capacity have increased exponentially, largely as a result of MOSFET scaling which enables MOS transistor counts to increase at a rapid pace predicted by Moore's law. Personal computers and smartphones put the ability to access, modify, store and share digital media in the hands of billions of people. Many electronic devices, from digital cameras to drones have the ability to create, transmit and view digital media. Combined with the World Wide Web and the Internet, digital media has transformed 21st century society in a way that is frequently compared to the cultural, economic and social impact of the printing press. The change has been so rapid and so widespread that it has launched an economic transition from an industrial economy to an information-based economy, creating a new period in human history known as the Information Age or the digital revolution. The transition has created some uncertainty about definitions. Digital media, new media, multimedia, and similar terms all have a relationship to both the engineering innovations and cultural impact of digital media. The blending of digital media with other media, and with cultural and social factors, is sometimes known as new media or "the new media." Similarly, digital media seems to demand a new set of communications skills, called transliteracy, media literacy, or digital literacy. These skills include not only the ability to read and write—traditional literacy—but the ability to navigate the Internet, evaluate sources, and create digital content. The idea that we are moving toward a fully digital, paperless society is accompanied by the fear that we may soon—or currently—be facing a digital dark age, in which older media are no longer accessible on modern devices or using modern methods of scholarship. Digital media has a significant, wide-ranging and complex effect on society and culture. A senior engineer at Motorola named Martin Cooper was the first person to make a phone call on April 3, 1973. He decided the first phone call should be to a rival telecommunications company saying "I'm speaking via a mobile phone". Ten years later, Motorola released the Motorola DynaTAC, the first commercially available mobile phone. In the early 1990s Nokia released the Nokia 1011, the first mass-produced mobile phone. The number of smartphone users has increased dramatically, as has the commercial landscape. Android and iOS dominate the smartphone market. A study by Gartner found that in 2016 about 88% of the worldwide smartphones were Android while iOS had a market share of about 12%. About 85% of the mobile market revenue came from mobile games. The impact of the digital revolution can also be assessed by exploring the amount of worldwide mobile smart device users there are. This can be split into 2 categories; smart phone users and smart tablet users. Worldwide there are currently 2.32 billion smartphone users across the world. This figure is to exceed 2.87 billion by 2020. Smart tablet users reached a total of 1 billion in 2015, 15% of the world's population. The statistics evidence the impact of digital media communications today. What is also of relevance is the fact that the number of smart device users is rising rapidly yet the amount of functional uses increase daily. A smartphone or tablet can be used for hundreds of daily needs. There are currently over 1 million apps on the Apple App store. These represent significant opportunities for digital marketing strategies. A smartphone user is impacted with digital advertising every second they open their Apple or Android device. This further evidences the digital revolution and the impact of revolution. This has resulted in a total of 13 billion dollars being paid out to the various app developers over the years. This growth has fueled the development of millions of software applications. Most of these apps are able to generate income via in app advertising. Gross revenue for 2020 is projected to be about $189 million. Compared with print media, the mass media, and other analog technologies, digital media are easy to copy, store, share and modify. This quality of digital media has led to significant changes in many industries, especially journalism, publishing, education, entertainment, and the music business. The overall effect of these changes is so far-reaching that it is difficult to quantify. For example, in movie-making, the transition from analog film cameras to digital cameras is nearly complete. The transition has economic benefits to Hollywood, making distribution easier and making it possible to add high-quality digital effects to films. At the same time, it has affected the analog special effects, stunt, and animation industries in Hollywood. It has imposed painful costs on small movie theaters, some of which did not or will not survive the transition to digital. The effect of digital media on other media industries is similarly sweeping and complex. Between 2000 and 2015, the print newspaper advertising revenue has fallen from $60 billion to a nearly $20 billion. Even one of the most popular days for papers, Sunday, has seen a 9% circulation decrease the lowest since 1945. In journalism, digital media and citizen journalism have led to the loss of thousands of jobs in print media and the bankruptcy of many major newspapers. But the rise of digital journalism has also created thousands of new jobs and specializations. E-books and self-publishing are changing the book industry, and digital textbooks and other media-inclusive curricula are changing primary and secondary education. In academia, digital media has led to a new form of scholarship, also called digital scholarship, making open access and open science possible thanks to the low cost of distribution. New fields of study have grown, such as digital humanities and digital history. It has changed the way libraries are used and their role in society. Every major media, communications and academic endeavor is facing a period of transition and uncertainty related to digital media. Often time the magazine or publisher have a Digital edition which can be referred to an electronic formatted version identical to the print version. There is a huge benefit to the publisher and cost, as half of traditional publishers' costs come from production, including raw materials, technical processing, and distribution. Since 2004, there has been a decrease in newspaper industry employment, with only about 40,000 people working in the workforce currently. Alliance of Audited Media & Publishers information during the 2008 recession, over 10% of print sales are diminished for certain magazines, with a hardship coming from only 75% of the sales advertisements as before. However, in 2018, major newspapers advertising revenue was 35% from digital ads. In contrast, mobile versions of newspapers and magazines came in second with a huge growth of 135%. The New York Times has noted a 47% year of year rise in their digital subscriptions. 43% of adults get news often from news websites or social media, compared with 49% for television. Pew Research also asked respondents if they got news from a streaming device on their TV – 9% of U.S. adults said that they do so often. Digital media has also allowed individuals to be much more active in content creation. Anyone with access to computers and the Internet can participate in social media and contribute their own writing, art, videos, photography and commentary to the Internet, as well as conduct business online. The dramatic reduction in the costs required to create and share content have led to a democratization of content creation as well as the creation of new types of content, like blogs, memes, and video essays. Some of these activities have also been labelled citizen journalism. This spike in user-created content is due to the development of the internet as well as the way in which users interact with media today. As more users join and use social media sites, the relevance of content creation increases. The release of technologies such mobile devices allow for easier and quicker access to all things media. Many media creation tools that were once available to only a few are now free and easy to use. The cost of devices that can access the Internet is steadily falling, and personal ownership of multiple digital devices is now becoming the standard. These elements have significantly affected political participation. Digital media is seen by many scholars as having a role in Arab Spring, and crackdowns on the use of digital and social media by embattled governments are increasingly common. Many governments restrict access to digital media in some way, either to prevent obscenity or in a broader form of political censorship. Over the years, YouTube has grown to become a website with user generated media. This content is oftentimes not mediated by any company or agency, leading to a wide array of personalities and opinions online. Over the years, YouTube and other platforms have also shown their monetary gains. In 2020, the top 10 highest earning YouTube content creators each generated over 15 million dollars. Many of these YouTube profiles over the years have a multi camera set up as we would see on TV. Many of these creators also establish their own digital companies as their audiences grow.[citation needed] Personal devices have also seen an increase over the years. Over 1.5 billion users of tablets exist in this world right now and that is expected to slowly grow About 20% of people in the world regularly watch their content using tablets in 2018 User-generated content raises issues of privacy, credibility, civility and compensation for cultural, intellectual and artistic contributions. The spread of digital media, and the wide range of literacy and communications skills necessary to use it effectively, have deepened the digital divide between those who have access to digital media and those who do not. The rising of digital media has made the consumer's audio collection more precise and personalized. It is no longer necessary to purchase an entire album if the consumer is ultimately interested in only a few audio files. The rise of streaming services has led to a decrease of cable TV services to about 59%, while streaming services are growing at around 29%, and 9% are still users of the digital antenna. TV Controllers now incorporate designated buttons for streaming platforms. Users are spending an average of 1:55 with digital video each day, and only 1:44 on social networks. 6 out of 10 people report viewing their television shows and news via a streaming service. Platforms such as Netflix have gained attraction due to their affordability, accessibility, and for its original content. Companies such as Netflix have even bought previously cancelled shows such as Designated Survivor, Lucifer, and Arrested Development. As the internet becomes more and more prevalent, more companies are beginning to distribute content through internet only means. Indeed, young people today are increasingly likely to use TikTok over Google, television or newspapers for their news. With the loss of viewers, there is a loss of revenue but not as bad as what would be expected. As of 2024 there has also been a wave of those considered too controversial by main-stream media moving over to online platforms such as X (formerly Twitter) to keep spreading their messages. One instance is Tucker Carlson leaving Fox News due to his controversial opinions and moving over to X. This has sparked debate surrounding topics such as free speech and hate speech. Digital media encompasses numerical networks of interactive systems that link databases, allowing users to navigate from one bit of content or webpage to another. Because of this ease, digital media poses several challenges to the current copyright and intellectual property laws. The ease of creating, modifying, and sharing digital media can influence copyright enforcement challenging and many copyright laws are widely seen as outdated. Under current copyright law, common Internet memes are generally illegal to share in many countries. Legal rights can be unclear for many common Internet activities. These include posting pictures from someone else's social media account, writing fanfiction, or covering and/or using popular songs in content such as YouTube videos. During the last decade, the concepts of fair use and copyright have been applied to different types of online media. Copyright challenges are spreading to all parts of digital media. Content creators on platforms such as YouTube follow guidelines set by copyright, IP laws, and the platform's copyright requirements. If these guidelines are not followed, the content may get demonetized, deleted, or sued. The situation can also occur when creators accidentally use audio tracks or background scenes that are under copyright. To avoid or resolve some of these issues, content creators can voluntarily adopt open, or copyleft licenses or they can release their work to the public domain. By doing this, creators are giving up certain legal rights regarding their content. Fair use is a doctrine of the US Copyright Law that allows limited use of copyrighted materials without the need to obtain permission. There are four factors that make up fair use. The first, Purpose, refers to what the content is being used for. The second factor is what copyrighted content is being used. If the content is non-fiction, it is more likely to fall under fair use than if the content is fiction. The third factor is how much of the copyrighted content is in use. Small amounts of copyrighted content are more likely to be considered fair. The last factor is, whether the use of copyrighted content earns money or affect the value of the content. Wikipedia uses some of the most common open licenses, Creative Commons licenses, and the GNU Free Documentation License. Open licenses are one aspect of a broad open content movement that advocates for the reduction or removal of copyright restrictions from software, data, and other digital media. To facilitate the collection and consumption of such licensing information and availability status, tools like the Creative Commons Search engine are used mostly for web images, and Unpaywall, or used for scholarly communication. Additional software has been developed to restrict access to digital media. Digital rights management (DRM) is used to lock material. This allows users to apply the media content to specific cases. DRM allows movie producers to rent at a lower price. This restricts the movie rental license length, rather than only selling the movie at full price. Additionally, DRM can prevent unauthorized modification or sharing of media. Digital media copyright protection technologies fall under intellectual property protection technology. This is because a series of computer technologies protect the digital content being created and transmitted. The Digital Millennium Copyright Act (DMCA) provides safety to intermediaries that host user content, such as YouTube, from being held liable for copyright infringement so long as they meet all required conditions. The most notable of which is the "notice and take down" policy. The policy requires online intermediaries to remove and/or disable access to the content in question when there are court orders and/or allegations of illegal use of the content on their site. As a result, YouTube has and continues to develop more policies and standards that go far past what the DMCA requires. YouTube has also created an algorithm which continuously scans their cite to make sure all content follows all policies. One digital media platform known to have copyright concerns is the short video-sharing app TikTok. TikTok is a social media app that allows users to share short videos up to one minute in length, using a variety of visual effects and audio. According to Loyola University's Chicago School of Law, around 50% of the music used on TikTok is unlicensed. TikTok has several music licensing agreements with various artists and labels, creating a library of fair and legal use of music. However, this does not cover all content for its users. A user could still commit a copyright violation on TikTok. One example is, accidentally having music playing on a stereo in the background or recording a laptop screen playing a song. Online magazines or digital magazines are one of the largest targets for copyright issues. According to the Audit Bureau of Circulations report from March 2011, the definition of this medium is when a digital magazine involves the distribution of magazine content by electronic means; it may be a replica. This definition can be considered outdated now that PDF replicas of print magazines are no longer common practice. These days digital magazines refer to magazines specifically created to be interactive digital platforms such as the internet, mobile phones, private networks, iPad, or other devices. The barriers to digital magazine distribution are thus decreasing. However, these platforms are also broadening the scope of where digital magazines can be published; smartphones are an example. Thanks to the improvements in tablets and other personal electronic devices, digital magazines have become much more readable and enticing through the use of graphic art. The evolution of online magazines began to focus on becoming more of a social media and entertainment platform. Online piracy has become one of the larger issues that have occurred concerning digital media copyright. The piracy of digital media, such as film and television, directly impacts the copyright party (the owner of the copyright). This action can impact the "health" of the digital media industry. Piracy directly breaks the laws and morals of copyright. Along with piracy, digital media has contributed to the ability to spread false information or fake news. Due to the widespread use of digital media, fake news can receive more notoriety. This notoriety enhances the negative effects fake news creates. As a result, people's health and well-being can directly be affected. See also References Further reading |
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[SOURCE: https://en.wikipedia.org/wiki/Leo_Minor] | [TOKENS: 2922] |
Contents Leo Minor Leo Minor is a small and faint constellation in the northern celestial hemisphere. Its name is Latin for "the smaller lion", in contrast to Leo, the larger lion. It lies between the larger and more recognizable Ursa Major to the north and Leo to the south. Leo Minor was not regarded as a separate constellation by classical astronomers; it was designated by Johannes Hevelius in 1687. There are 37 stars brighter than apparent magnitude 6.5 in the constellation; three are brighter than magnitude 4.5. 46 Leonis Minoris, an orange giant of magnitude 3.8, is located some 95 light-years from Earth. At magnitude 4.4, Beta Leonis Minoris is the second-brightest star and the only one in the constellation with a Bayer designation. It is a binary star, the brighter component of which is an orange giant and the fainter a yellow-white main sequence star. The third-brightest star is 21 Leonis Minoris, a rapidly rotating white main-sequence star of average magnitude 4.5. The constellation also includes two stars with planetary systems, two pairs of interacting galaxies, and Hanny's Voorwerp, a unique deep-sky object. History The classical astronomers Aratus and Ptolemy had noted the region of what is now Leo Minor to be undefined and not containing any distinctive patterns; Ptolemy classified the stars in this area as amorphōtoi (not belonging to a constellation outline) within the constellation Leo. Johannes Hevelius first depicted Leo Minor in 1687 when he outlined ten new constellations in his star atlas Firmamentum Sobiescianum, and included 18 of its objects in the accompanying Catalogus Stellarum Fixarum. Hevelius decided upon Leo Minor or Leo Junior as a depiction that would align with its beastly neighbours the Lion and the Great Bear. In 1845, English astronomer Francis Baily revised the catalogue of Hevelius's new constellations, and assigned a Greek letter known as Bayer designation to stars brighter than apparent magnitude 4.5. Richard A. Proctor gave the constellation the name Leaena "the Lioness" in 1870, explaining that he sought to shorten the constellation names to make them more manageable on celestial charts. German astronomer Christian Ludwig Ideler posited that the stars of Leo Minor had been termed Al Thibā' wa-Aulāduhā "Gazelle with her Young" on a 13th-century Arabic celestial globe, recovered by Cardinal Stefano Borgia and housed in the prelate's museum at Velletri. Arabist Friedrich Wilhelm Lach describes a different view, noting that they had been seen as Al Haud "the Pond", which the Gazelle jumps into. In Chinese astronomy, the stars Beta, 30, 37 and 46 Leonis Minoris made up Neiping, a "Court of Judge or Mediator", or Shi "Court Eunuch" or were combined with stars of the neighbouring Leo to make up a large celestial dragon or State Chariot. A line of four stars was known as Shaowei; it represented four Imperial advisors and may have been located in Leo Minor, Leo or adjacent regions. Characteristics A dark area of the sky with a triangle of brighter stars just visible to the naked eye in good conditions, Leo Minor has been described by Patrick Moore as having "dubious claims to a separate identity". It is a small constellation bordered by Ursa Major to the north, Lynx to the west, Leo to the south, and touching the corner of Cancer to the southwest. The three-letter abbreviation for the constellation, as adopted by the International Astronomical Union in 1922, is "LMi". The official constellation boundaries, as set by Belgian astronomer Eugène Delporte in 1930, are defined by a polygon of 16 sides. In the equatorial coordinate system, the right ascension coordinates of these borders lie between 9h 22.4m and 11h 06.5m , while the declination coordinates are between 22.84° and 41.43°. Ranked 64th out of 88 constellations in size, Leo Minor covers an area of 232.0 square degrees, or 0.562 per cent of the sky. It culminates each year at midnight on 24 February, and at 9 p.m. on 24 May. Notable features There are only three stars in the constellation brighter than magnitude 4.5, and 37 stars with a magnitude brighter than 6.5. Leo Minor does not have a star designated Alpha because Baily erred and allocated a Greek letter to only one star, Beta. It is unclear whether he intended to give 46 Leonis Minoris a Bayer designation, as he recognized Beta and 46 Leonis Minoris as of the appropriate brightness in his catalogue. He died before revising his proofs, which might explain this star's omission. At magnitude 3.8, the brightest star in Leo Minor is an orange giant of spectral class K0III named 46 Leonis Minoris or Praecipua; its colour is evident when seen through binoculars. Situated 95 light-years (29 parsecs) from Earth, it has around 32 times the luminosity and is 8.5 times the size of the Sun. It was also catalogued and named as o Leonis Minoris by Johann Elert Bode, which has been misinterpreted as Omicron Leonis Minoris. More confusion occurred with its proper name Praecipua, which appears to have been originally applied to 37 Leonis Minoris in the 1814 Palermo Catalogue of Giuseppe Piazzi, who mistakenly assessed the latter star as the brighter. This name was later connected by Allen with 46 Leonis Minoris—an error perpetuated by subsequent astronomers. The original "Praecipua", 37 Leonis Minoris, has an apparent magnitude of 4.69, but is a distant yellow supergiant of spectral type G2.5IIa and absolute magnitude of −1.84, around 578 light-years (177 parsecs) distant. Beta Leonis Minoris is a binary star system. The primary is a giant star of spectral class G9III and apparent magnitude of 4.4. It has around double the mass, 7.8 times the radius and 36 times the luminosity of the Earth's Sun. Separated by 0.1 to 0.6 second of arc from the primary, the secondary is a yellow-white main sequence star of spectral type F8. The two orbit around a common centre of gravity every 38.62 years, and lie 154 light-years (47 parsecs) away from the Solar System. Around 98 light-years (30 parsecs) away and around 10 times as luminous as the Sun, 21 Leonis Minoris is a rapidly rotating white main-sequence star, spinning on its axis in less than 12 hours and very likely flattened in shape. Of average apparent magnitude 4.5 and spectral type A7V, it is a Delta Scuti variable. These are short period (six hours at most) pulsating stars which have been used as standard candles and as subjects to study asteroseismology. Also known as SU and SV Leonis Minoris, 10 and 11 Leonis Minoris are yellow giants of spectral type G8III, with average magnitudes 4.54 and 5.34 respectively. Both are RS Canum Venaticorum variables, with 10 Leonis Minoris varying by 0.012 magnitude over 40.4 days, and 11 Leonis Minoris by 0.033 magnitude over 18 days. 11 Leonis Minoris has a red dwarf companion of spectral type M5V and apparent magnitude 13.0. 20 Leonis Minoris is a multiple star system 49 light-years (15 parsecs) away from the Sun. The main star is another yellow star, this time a dwarf of spectral type G3Va and apparent magnitude 5.4. The companion is an old, active red dwarf that has a relatively high metallicity and is of spectral type M6.5. The fact that the secondary star is brighter than expected indicates it is likely two stars very close together that are unable to be made out separately with current viewing technology. R and S Leonis Minoris are long-period Mira variables, while U Leonis Minoris is a semiregular variable; all three are red giants of spectral types M6.5e-M9.0e, M5e and M6 respectively. R varies between magnitudes 6.3 and 13.2 during a period of 372 days, S varies between magnitudes 8.6 and 13.9 during a period of 234 days, and U varies between magnitudes 10.0 and 13.3 during a period of 272 days. The lack of bright stars makes finding these objects challenging for amateur astronomers. G 117-B15A, also known as RY Leonis Minoris, is a pulsating white dwarf of apparent magnitude 15.5. With a period of approximately 215 seconds, and losing a second every 8.9 million years, the 400-million-year-old star has been proposed as the most stable celestial clock. SX Leonis Minoris is a dwarf nova of the SU Ursae Majoris type that was identified in 1994. It consists of a white dwarf and a donor star, which orbit each other every 97 minutes. The white dwarf sucks matter from the other star onto an accretion disc and heats up to between 6000 and 10000 K. The dwarf star erupts every 34 to 64 days, reaching magnitude 13.4 in these outbursts and remaining at magnitude 16.8 when quiet. Leo Minor contains another dwarf nova, RZ Leonis Minoris, which brightens to magnitude 14.2 from a baseline magnitude of around 17 but does so at shorter intervals than other dwarf novae. Two stars with planetary systems have been found. HD 87883 is an orange dwarf of magnitude 7.57 and spectral type K0V 18 parsecs distant from Earth. With a diameter three quarters that of Earth's sun, it is only 31 per cent as luminous. It is orbited by a planet around 1.78 times the mass of Jupiter every 7.9 years, and there are possibly other smaller planets. HD 82886 (Illyrian) is a yellow dwarf of spectral type G0 and visual magnitude 7.63. A planet 1.3 times the mass of Jupiter and orbiting every 705 days was discovered in 2011. In terms of deep-sky objects, Leo Minor contains many galaxies viewable in amateur telescopes. Located 3 degrees southeast of 38 Leonis Minoris, NGC 3432 is seen nearly edge on. It is of apparent magnitude 11.7 and measures 6.8 by 1.4 arcminutes. Located 42 million light-years away, it is moving away from the Solar System at a rate of 616 km per second. In 2000, a star within the galaxy brightened to magnitude 17.4, and has since been determined to be a luminous blue variable and supernova impostor. It has tidal filaments and intense star formation, so it was listed in Halton Arp's Atlas of Peculiar Galaxies. NGC 3003, a SBbc barred spiral galaxy with an apparent magnitude of 12.3 and an angular size of 5.8 arcminutes, is seen almost edge-on. NGC 3344, 25 million light-years distant, is face-on towards Earth. Measuring 7.1 by 6.5 arcminutes in size, it has an apparent magnitude of 10.45. NGC 3504 is a starburst barred spiral galaxy of apparent magnitude 11.67 and measuring 2.1 by 2.7 arcminutes. It has hosted supernovae in 1998 and 2001. It and the spiral galaxy NGC 3486 are also almost face-on towards Earth; the latter is of magnitude 11.05 and measures 7.1 by 5.2 arcminutes. NGC 2859 is an SB0-type lenticular galaxy. At least two pairs of interacting galaxies have been observed. Arp 107 is a pair of galaxies in the process of merging, located 450 million light-years away. NGC 3395 and NGC 3396 are a spiral and irregular barred spiral galaxy, respectively, that are interacting, located 1.33 degrees southwest of 46 Leonis Minoris. The unique deep-sky object known as Hanny's Voorwerp was discovered in Leo Minor in 2007 by Dutch school teacher Hanny van Arkel while participating as a volunteer in the Galaxy Zoo project. Lying near the 650-million-light-year-distant spiral galaxy IC 2497, it is around the same size as the Milky Way. It contains a 16,000-light-year-wide hole. The voorwerp is thought to be the visual light echo of a quasar now gone inactive, possibly as recently as 200,000 years ago. Discovered by Dick McCloskey and Annette Posen of the Harvard Meteor Program in 1959, the Leonis Minorid meteor shower peaks between 18 and 29 October. The shower's parent body is the long period comet C/1739 K1 (Zanotti). It is a minor shower, and can only be seen from the Northern Hemisphere. The fact that Leo Minor was not a named constellation until 1687 provided proof that an alleged play by Euripides was in fact a forgery, in the Inspector Lewis episode "The Lions of Nemea".[citation needed] See also References Citations Sources Online sources External links |
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[SOURCE: https://en.wikipedia.org/wiki/Ideal_Toy_Company] | [TOKENS: 1795] |
Contents Ideal Toy Company Ideal Toy Company was an American toy company founded by Morris Michtom and his wife, Rose. During the post–World War II baby boom era, Ideal became the largest doll-making company in the United States. Their most popular dolls included Betsy Wetsy, Toni, Saucy Walker, Shirley Temple, Miss Revlon, Patti Playpal, Tammy, Thumbelina, Tiny Thumbelina, and Crissy. The company is also known for selling the Rubik's Cube. History Morris and Rose Michtom founded the Ideal Novelty and Toy Company, in Brooklyn, New York, when they invented the Teddy bear in 1903. Rose had made the original "Teddy's Bear" for their children. Morris and Rose sent a bear to President "Teddy" Roosevelt, and asked permission to use his name for the bear. Roosevelt "adopted" the bear and had it present in his campaign and on display at White House functions. After Morris Michtom's death in 1938, the company changed its name to the Ideal Toy Company, and Michtom's nephew Abraham Katz became chief executive. Ideal began making dolls in 1907 to complement its line of teddy bears. Their first doll was “Yellow Kid,” from Richard Felton Outcault's comic strip of the same name. After that, Ideal began making a line of baby and character dolls such as Naughty Marietta (from the Victor Herbert operetta), and Admiral Dot. Ideal advertised their dolls as "unbreakable," since they were made of composition, a material made of sawdust and glue, rather than ceramics. Ideal produced over 200 variations of dolls throughout the composition era. In 1914, Ideal had a boy doll launched named the Uneeda Kid, after a biscuit company. It was patented on December 8, 1914. The 15-inch boy doll wore a blue and white bloomer suit and held a box of Uneeda Biscuits under his arm. One of Ideal's most lasting products was Betsy Wetsy, introduced in 1934 and in production for more than 50 years. The doll was named after the daughter of Abraham Katz, the head of the company. Ideal, via the Betsy Wetsy doll, was also one of the first doll manufacturers to produce an African American version of a popular doll. In 2003, the Toy Industry Association named Betsy Wetsy to its Century of Toys List, a compilation commemorating the 100 most memorable and most creative toys of the 20th century. Debuting in 1934, the Shirley Temple doll was Ideal's best-selling doll. The company followed this with licensed Disney dolls and a Judy Garland doll. During World War II, the company's value rose from $2 million to $11 million. The company began selling dolls under license in Canada, Australia, the United Kingdom, and Brazil in the post–World War II baby boom era.[citation needed] Two cosmetics-based doll series were launched after World War II: Toni was introduced at the end of the 1940s, and the Miss Revlon series followed in the 1950s. Doll designer, Judith Albert, worked for Ideal Toy Company from 1960 to 1982. Key Ideal employees during the 1950s, '60s, and '70s were Lionel A. Weintraub and Joseph C. Winkler. Weintraub, the son-in-law of Abraham Katz, joined the company in 1941 and rose to become president, chairman of the board, and chief executive officer. Winkler joined Ideal in 1956, rising to vice president by 1971. Master sculptor, Vincent J. DeFilippo spent 27 years creating dolls for Ideal. Some of the company's most popular dolls during this period were Tammy (1962–1966), Flatsy dolls (1969–1973), Crissy (1969–1974), and Tressy (1970–1972). Ideal had a hobby division in the 1950s, then shifted from that to games in 1962. In 1951, Ideal partnered with its competitors the American Character Doll Company and the Alexander Doll Company to establish the United States-Israeli Toy and Plastic Corporation. The company was created to produce material for toys in Israel; the U.S. Ideal CEO, Abraham Katz, was named president of the new company. In 1953, Ideal won the licensing rights to produce the U.S. Forest Service's Smokey Bear. They kept their licensing until 1968 when the U.S. Forest Service switched to Knickerbocker. In 1966, Ideal released toy puppets of Muppet characters, including Kermit the Frog and Rowlf the Dog. In 1968, Ideal joined the New York Stock Exchange. In 1968, the American Character Doll Company filed for bankruptcy, and Ideal acquired the defunct company's dyes, patents, and trademarks, as well as specific products like the "Tressy" Gro-Hair doll. By the early 1970s, 30% of the company's sales were games such as Mouse Trap and Hands Down. Popular Ideal toys in the 1970s included a full line of Evel Knievel toys, Snoopy toys, and the Tuesday Taylor and Wake-up Thumbelina dolls. By 1970, Ideal had outgrown its manufacturing complex in Hollis, Queens. The company wanted to build a new plant in College Point, Queens, but was unable to strike a deal with the Lindsay administration. The company opened a new facility in Newark, New Jersey, in the early 1970s, while continuing to operate its factory in Hollis. In late 1971, Ideal joined the New York Stock Exchange. Valued at $71 million, it was one of the U.S.'s top three toy companies. In 1979, a Hungarian inventor, Erno Rubik, pitched his Magic Cube to Ideal Toy Company. Ideal renamed it the Rubik's cube. The toy was sold in stores beginning in 1980. In May 1981, trying to maximize profits on the Rubik's Cube craze, Ideal filed civil suits against dozens of distributors and retailers selling knockoff cubes. The Rubik's Cube was inducted into the National Toy Hall of Fame in 2014. Ideal had earnings of $3.7 million in fiscal year 1979–1980, but lost $15.5 million in fiscal year 1980–1981. Sales both years averaged around $150 million. In May 1981, Joseph Winkler was named Ideal's president, succeeding Lionel Weintraub, who remained chairman and CEO. In 1982, the company moved its headquarters from Hollis, Queens, to Harmon Meadow, New Jersey. It was sold to CBS Toys later that year for around $58 million. In 1984, CBS sold Ideal to Viewmaster International, which renamed itself "View-Master Ideal" in the process. In 1989, View-Master Ideal was bought by Tyco Toys of Mt. Laurel, New Jersey, for $43.9 million. The Ideal line remained part of Tyco until Tyco's merger with Mattel, Inc., in 1997. Ideal's United Kingdom assets were sold to Hasbro, which has since released Mouse Trap, Buck-a-roo!, and KerPlunk under its MB Games brand. Other toys that originated with Ideal continue to be marketed and sold by other companies, including Rubik's Cube by Hasbro and Magic 8 Ball by Mattel. The Ideal trademarks, and most toy molds not purchased by Hasbro or Mattel, were purchased by Jay Horowitz, of American Plastic Equipment, who later transferred all rights to American Plastic Equipment's subsidiary, American Classic Toys. Mr. Horowitz licensed the trademark and toy rights to Plaza Toys, to be used on its Fiddlestix building sticks products, and eventually sold the mark and toy rights in January 2011, to Poof-Slinky. In January 2014, the Ideal brand and toy rights became part of a new company, Alex Brands, after the May 2013 acquisition of Alex Toys by Propel Equity Partners. In early 2019, Jay Horowitz of American Classic Toys entered into an exclusive license agreement with the Juna Group to represent worldwide select Ideal brands (not included in the sale to Poof-Slinky) in all categories outside of toys and playthings.[citation needed] In 2023, this license agreement was acquired from The Juna Group by CSN Press LLC, publishers of the weekly newspaper, Comic Shop News.[citation needed] Product lines Trivia References |
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