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interpreter package. The exact membership of the collection may vary based on platform, available system libraries, or other criteria. Documentation can be found at :ref:`library-index`. See also :data:`sys.stdlib_module_names` for a list of all possible standard library module names.
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interpreter package. The exact membership of the collection may vary based on platform, available system libraries, or other criteria. Documentation can be found at :ref:`library-index`. See also :data:`sys.stdlib_module_names` for a list of all possible standard library module names.
interpreter package. The exact membership of the collection may vary based on platform, available system libraries, or other criteria. Documentation can be found at :ref:`library-index`. See also :data:`sys.stdlib_module_names` for a list of all possible standard library module names.
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.. index:: single: generator generator A function which returns a :term:`generator iterator`. It looks like a normal function except that it contains :keyword:`yield` expressions for producing a series of values usable in a for-loop or that can be retrieved one at a time with the :func:`next` function.
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CPython Docs
.. index:: single: generator generator A function which returns a :term:`generator iterator`. It looks like a normal function except that it contains :keyword:`yield` expressions for producing a series of values usable in a for-loop or that can be retrieved one at a time with the :func:`next` function.
.. index:: single: generator generator A function which returns a :term:`generator iterator`. It looks like a normal function except that it contains :keyword:`yield` expressions for producing a series of values usable in a for-loop or that can be retrieved one at a time with the :func:`next` function.
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try-statements). When the *asynchronous generator iterator* effectively resumes with another awaitable returned by :meth:`~object.__anext__`, it picks up where it left off. See :pep:`492` and :pep:`525`. asynchronous iterable An object, that can be used in an :keyword:`async for` statement. Must return an :term:`async...
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try-statements). When the *asynchronous generator iterator* effectively resumes with another awaitable returned by :meth:`~object.__anext__`, it picks up where it left off. See :pep:`492` and :pep:`525`. asynchronous iterable An object, that can be used in an :keyword:`async for` statement. Must return an :term:`async...
try-statements). When the *asynchronous generator iterator* effectively resumes with another awaitable returned by :meth:`~object.__anext__`, it picks up where it left off. See :pep:`492` and :pep:`525`. asynchronous iterable An object, that can be used in an :keyword:`async for` statement. Must return an :term:`async...
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concept exists for classes, but is less commonly used there. See the documentation for :ref:`function definitions <function>` and :ref:`class definitions <class>` for more about decorators. descriptor Any object which defines the methods :meth:`~object.__get__`, :meth:`~object.__set__`, or :meth:`~object.__delete__`....
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concept exists for classes, but is less commonly used there. See the documentation for :ref:`function definitions <function>` and :ref:`class definitions <class>` for more about decorators. descriptor Any object which defines the methods :meth:`~object.__get__`, :meth:`~object.__set__`, or :meth:`~object.__delete__`....
concept exists for classes, but is less commonly used there. See the documentation for :ref:`function definitions <function>` and :ref:`class definitions <class>` for more about decorators. descriptor Any object which defines the methods :meth:`~object.__get__`, :meth:`~object.__set__`, or :meth:`~object.__delete__`....
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Immortal objects can be identified via :func:`sys._is_immortal`, or via :c:func:`PyUnstable_IsImmortal` in the C API. immutable An object with a fixed value. Immutable objects include numbers, strings and tuples. Such an object cannot be altered. A new object has to be created if a different value has to be stored. ...
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Immortal objects can be identified via :func:`sys._is_immortal`, or via :c:func:`PyUnstable_IsImmortal` in the C API. immutable An object with a fixed value. Immutable objects include numbers, strings and tuples. Such an object cannot be altered. A new object has to be created if a different value has to be stored. ...
Immortal objects can be identified via :func:`sys._is_immortal`, or via :c:func:`PyUnstable_IsImmortal` in the C API. immutable An object with a fixed value. Immutable objects include numbers, strings and tuples. Such an object cannot be altered. A new object has to be created if a different value has to be stored. ...
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A :term:`function`, and by extension a :term:`method`, is a callable. An instance of a class that implements the :meth:`~object.__call__` method is also a callable. callback A subroutine function which is passed as an argument to be executed at some point in the future.
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A :term:`function`, and by extension a :term:`method`, is a callable. An instance of a class that implements the :meth:`~object.__call__` method is also a callable. callback A subroutine function which is passed as an argument to be executed at some point in the future.
A :term:`function`, and by extension a :term:`method`, is a callable. An instance of a class that implements the :meth:`~object.__call__` method is also a callable. callback A subroutine function which is passed as an argument to be executed at some point in the future.
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MRO See :term:`method resolution order`. mutable An :term:`object` with state that is allowed to change during the course of the program. In multi-threaded programs, mutable objects that are shared between threads require careful synchronization to avoid :term:`race conditions <race condition>`. See also :term:`imm...
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MRO See :term:`method resolution order`. mutable An :term:`object` with state that is allowed to change during the course of the program. In multi-threaded programs, mutable objects that are shared between threads require careful synchronization to avoid :term:`race conditions <race condition>`. See also :term:`imm...
MRO See :term:`method resolution order`. mutable An :term:`object` with state that is allowed to change during the course of the program. In multi-threaded programs, mutable objects that are shared between threads require careful synchronization to avoid :term:`race conditions <race condition>`. See also :term:`imm...
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are instances of user-defined classes are hashable by default. They all compare unequal (except with themselves), and their hash value is derived from their :func:`id`. IDLE An Integrated Development and Learning Environment for Python. :ref:`idle` is a basic editor and interpreter environment which ships with the st...
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are instances of user-defined classes are hashable by default. They all compare unequal (except with themselves), and their hash value is derived from their :func:`id`. IDLE An Integrated Development and Learning Environment for Python. :ref:`idle` is a basic editor and interpreter environment which ships with the st...
are instances of user-defined classes are hashable by default. They all compare unequal (except with themselves), and their hash value is derived from their :func:`id`. IDLE An Integrated Development and Learning Environment for Python. :ref:`idle` is a basic editor and interpreter environment which ships with the st...
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See :term:`function annotation`, :pep:`484` and :pep:`526`, which describe this functionality. Also see :ref:`annotations-howto` for best practices on working with annotations. virtual environment A cooperatively isolated runtime environment that allows Python users and applications to install and upgrade Python dist...
trusted_official_docs
CPython Docs
See :term:`function annotation`, :pep:`484` and :pep:`526`, which describe this functionality. Also see :ref:`annotations-howto` for best practices on working with annotations. virtual environment A cooperatively isolated runtime environment that allows Python users and applications to install and upgrade Python dist...
See :term:`function annotation`, :pep:`484` and :pep:`526`, which describe this functionality. Also see :ref:`annotations-howto` for best practices on working with annotations. virtual environment A cooperatively isolated runtime environment that allows Python users and applications to install and upgrade Python dist...
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(e.g. :mod:`multiprocessing`) or native extensions that release the GIL. In :term:`free-threaded <free threading>` Python, multiple Python threads can run Python code simultaneously on different cores. parameter A named entity in a :term:`function` (or method) definition that specifies an :term:`argument` (or in some...
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(e.g. :mod:`multiprocessing`) or native extensions that release the GIL. In :term:`free-threaded <free threading>` Python, multiple Python threads can run Python code simultaneously on different cores. parameter A named entity in a :term:`function` (or method) definition that specifies an :term:`argument` (or in some...
(e.g. :mod:`multiprocessing`) or native extensions that release the GIL. In :term:`free-threaded <free threading>` Python, multiple Python threads can run Python code simultaneously on different cores. parameter A named entity in a :term:`function` (or method) definition that specifies an :term:`argument` (or in some...
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An informal synonym for :term:`special method`. mapping A container object that supports arbitrary key lookups and implements the methods specified in the :class:`collections.abc.Mapping` or :class:`collections.abc.MutableMapping` :ref:`abstract base classes <collections-abstract-base-classes>`. Examples include :...
trusted_official_docs
CPython Docs
An informal synonym for :term:`special method`. mapping A container object that supports arbitrary key lookups and implements the methods specified in the :class:`collections.abc.Mapping` or :class:`collections.abc.MutableMapping` :ref:`abstract base classes <collections-abstract-base-classes>`. Examples include :...
An informal synonym for :term:`special method`. mapping A container object that supports arbitrary key lookups and implements the methods specified in the :class:`collections.abc.Mapping` or :class:`collections.abc.MutableMapping` :ref:`abstract base classes <collections-abstract-base-classes>`. Examples include :...
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coroutine function may be defined with the :keyword:`async def` statement, and may contain :keyword:`await`, :keyword:`async for`, and :keyword:`async with` keywords. These were introduced by :pep:`492`. CPython The canonical implementation of the Python programming language, as distributed on `python.org <https://ww...
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CPython Docs
coroutine function may be defined with the :keyword:`async def` statement, and may contain :keyword:`await`, :keyword:`async for`, and :keyword:`async with` keywords. These were introduced by :pep:`492`. CPython The canonical implementation of the Python programming language, as distributed on `python.org <https://ww...
coroutine function may be defined with the :keyword:`async def` statement, and may contain :keyword:`await`, :keyword:`async for`, and :keyword:`async with` keywords. These were introduced by :pep:`492`. CPython The canonical implementation of the Python programming language, as distributed on `python.org <https://ww...
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.. impl-detail:: CPython does not consistently apply the requirement that an iterator define :meth:`~iterator.__iter__`. And also please note that :term:`free-threaded <free threading>` CPython does not guarantee :term:`thread-safe` behavior of iterator operations.
trusted_official_docs
CPython Docs
.. impl-detail:: CPython does not consistently apply the requirement that an iterator define :meth:`~iterator.__iter__`. And also please note that :term:`free-threaded <free threading>` CPython does not guarantee :term:`thread-safe` behavior of iterator operations.
.. impl-detail:: CPython does not consistently apply the requirement that an iterator define :meth:`~iterator.__iter__`. And also please note that :term:`free-threaded <free threading>` CPython does not guarantee :term:`thread-safe` behavior of iterator operations.
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hook A callable on the :data:`sys.path_hooks` list which returns a :term:`path entry finder` if it knows how to find modules on a specific :term:`path entry`. path based finder One of the default :term:`meta path finders <meta path finder>` which searches an :term:`import path` for modules.
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hook A callable on the :data:`sys.path_hooks` list which returns a :term:`path entry finder` if it knows how to find modules on a specific :term:`path entry`. path based finder One of the default :term:`meta path finders <meta path finder>` which searches an :term:`import path` for modules.
hook A callable on the :data:`sys.path_hooks` list which returns a :term:`path entry finder` if it knows how to find modules on a specific :term:`path entry`. path based finder One of the default :term:`meta path finders <meta path finder>` which searches an :term:`import path` for modules.
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and :class:`list` provide lock-free read operations, which means other threads may observe intermediate states during multi-step modifications even when those modifications hold the :term:`per-object lock`. loader An object that loads a module. It must define the :meth:`!exec_module` and :meth:`!create_module` methods...
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CPython Docs
and :class:`list` provide lock-free read operations, which means other threads may observe intermediate states during multi-step modifications even when those modifications hold the :term:`per-object lock`. loader An object that loads a module. It must define the :meth:`!exec_module` and :meth:`!create_module` methods...
and :class:`list` provide lock-free read operations, which means other threads may observe intermediate states during multi-step modifications even when those modifications hold the :term:`per-object lock`. loader An object that loads a module. It must define the :meth:`!exec_module` and :meth:`!create_module` methods...
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function annotation An :term:`annotation` of a function parameter or return value. Function annotations are usually used for :term:`type hints <type hint>`: for example, this function is expected to take two :class:`int` arguments and is also expected to have an :class:`int` return value::
trusted_official_docs
CPython Docs
function annotation An :term:`annotation` of a function parameter or return value. Function annotations are usually used for :term:`type hints <type hint>`: for example, this function is expected to take two :class:`int` arguments and is also expected to have an :class:`int` return value::
function annotation An :term:`annotation` of a function parameter or return value. Function annotations are usually used for :term:`type hints <type hint>`: for example, this function is expected to take two :class:`int` arguments and is also expected to have an :class:`int` return value::
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suite (a "block" of code). A statement is either an :term:`expression` or one of several constructs with a keyword, such as :keyword:`if`, :keyword:`while` or :keyword:`for`. static type checker An external tool that reads Python code and analyzes it, looking for issues such as incorrect types. See also :term:`type h...
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suite (a "block" of code). A statement is either an :term:`expression` or one of several constructs with a keyword, such as :keyword:`if`, :keyword:`while` or :keyword:`for`. static type checker An external tool that reads Python code and analyzes it, looking for issues such as incorrect types. See also :term:`type h...
suite (a "block" of code). A statement is either an :term:`expression` or one of several constructs with a keyword, such as :keyword:`if`, :keyword:`while` or :keyword:`for`. static type checker An external tool that reads Python code and analyzes it, looking for issues such as incorrect types. See also :term:`type h...
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tests for pre-conditions before making calls or lookups. This style contrasts with the :term:`EAFP` approach and is characterized by the presence of many :keyword:`if` statements. In a multi-threaded environment, the LBYL approach can risk introducing a :term:`race condition` between "the looking" and "the leaping". F...
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tests for pre-conditions before making calls or lookups. This style contrasts with the :term:`EAFP` approach and is characterized by the presence of many :keyword:`if` statements. In a multi-threaded environment, the LBYL approach can risk introducing a :term:`race condition` between "the looking" and "the leaping". F...
tests for pre-conditions before making calls or lookups. This style contrasts with the :term:`EAFP` approach and is characterized by the presence of many :keyword:`if` statements. In a multi-threaded environment, the LBYL approach can risk introducing a :term:`race condition` between "the looking" and "the leaping". F...
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the standard library to continue to evolve over time, without locking in problematic design errors for extended periods of time. See :pep:`411` for more details. provisional package See :term:`provisional API`.
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the standard library to continue to evolve over time, without locking in problematic design errors for extended periods of time. See :pep:`411` for more details. provisional package See :term:`provisional API`.
the standard library to continue to evolve over time, without locking in problematic design errors for extended periods of time. See :pep:`411` for more details. provisional package See :term:`provisional API`.
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that can be called to evaluate a lazily evaluated attribute of an object, such as the value of type aliases created with the :keyword:`type` statement. expression A piece of syntax which can be evaluated to some value. In other words, an expression is an accumulation of expression elements like literals, names, attr...
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CPython Docs
that can be called to evaluate a lazily evaluated attribute of an object, such as the value of type aliases created with the :keyword:`type` statement. expression A piece of syntax which can be evaluated to some value. In other words, an expression is an accumulation of expression elements like literals, names, attr...
that can be called to evaluate a lazily evaluated attribute of an object, such as the value of type aliases created with the :keyword:`type` statement. expression A piece of syntax which can be evaluated to some value. In other words, an expression is an accumulation of expression elements like literals, names, attr...
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stdlib An abbreviation of :term:`standard library`. strong reference In Python's C API, a strong reference is a reference to an object which is owned by the code holding the reference. The strong reference is taken by calling :c:func:`Py_INCREF` when the reference is created and released with :c:func:`Py_DECREF` w...
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stdlib An abbreviation of :term:`standard library`. strong reference In Python's C API, a strong reference is a reference to an object which is owned by the code holding the reference. The strong reference is taken by calling :c:func:`Py_INCREF` when the reference is created and released with :c:func:`Py_DECREF` w...
stdlib An abbreviation of :term:`standard library`. strong reference In Python's C API, a strong reference is a reference to an object which is owned by the code holding the reference. The strong reference is taken by calling :c:func:`Py_INCREF` when the reference is created and released with :c:func:`Py_DECREF` w...
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which is usually referenced by name using dotted expressions. For example, if an object *o* has an attribute *a* it would be referenced as *o.a*. It is possible to give an object an attribute whose name is not an identifier as defined by :ref:`identifiers`, for example using :func:`setattr`, if the object allows it. ...
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which is usually referenced by name using dotted expressions. For example, if an object *o* has an attribute *a* it would be referenced as *o.a*. It is possible to give an object an attribute whose name is not an identifier as defined by :ref:`identifiers`, for example using :func:`setattr`, if the object allows it. ...
which is usually referenced by name using dotted expressions. For example, if an object *o* has an attribute *a* it would be referenced as *o.a*. It is possible to give an object an attribute whose name is not an identifier as defined by :ref:`identifiers`, for example using :func:`setattr`, if the object allows it. ...
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single dispatch A form of :term:`generic function` dispatch where the implementation is chosen based on the type of a single argument. slice An object of type :class:`slice`, used to describe a portion of a :term:`sequence`. A slice object is created when using the :ref:`slicing <slicings>` form of :ref:`subscript n...
trusted_official_docs
CPython Docs
single dispatch A form of :term:`generic function` dispatch where the implementation is chosen based on the type of a single argument. slice An object of type :class:`slice`, used to describe a portion of a :term:`sequence`. A slice object is created when using the :ref:`slicing <slicings>` form of :ref:`subscript n...
single dispatch A form of :term:`generic function` dispatch where the implementation is chosen based on the type of a single argument. slice An object of type :class:`slice`, used to describe a portion of a :term:`sequence`. A slice object is created when using the :ref:`slicing <slicings>` form of :ref:`subscript n...
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importing The process by which Python code in one module is made available to Python code in another module. importer An object that both finds and loads a module; both a :term:`finder` and :term:`loader` object.
trusted_official_docs
CPython Docs
importing The process by which Python code in one module is made available to Python code in another module. importer An object that both finds and loads a module; both a :term:`finder` and :term:`loader` object.
importing The process by which Python code in one module is made available to Python code in another module. importer An object that both finds and loads a module; both a :term:`finder` and :term:`loader` object.
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For more information about descriptors' methods, see :ref:`descriptors` or the :ref:`Descriptor How To Guide <descriptorhowto>`. dictionary An associative array, where arbitrary keys are mapped to values. The keys can be any object with :meth:`~object.__hash__` and :meth:`~object.__eq__` methods. Called a hash in Pe...
trusted_official_docs
CPython Docs
For more information about descriptors' methods, see :ref:`descriptors` or the :ref:`Descriptor How To Guide <descriptorhowto>`. dictionary An associative array, where arbitrary keys are mapped to values. The keys can be any object with :meth:`~object.__hash__` and :meth:`~object.__eq__` methods. Called a hash in Pe...
For more information about descriptors' methods, see :ref:`descriptors` or the :ref:`Descriptor How To Guide <descriptorhowto>`. dictionary An associative array, where arbitrary keys are mapped to values. The keys can be any object with :meth:`~object.__hash__` and :meth:`~object.__eq__` methods. Called a hash in Pe...
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:class:`dict`, :term:`file objects <file object>`, and objects of any classes you define with an :meth:`~object.__iter__` method or with a :meth:`~object.__getitem__` method that implements :term:`sequence` semantics. Iterables can be used in a :keyword:`for` loop and in many other places where a sequence is needed (...
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:class:`dict`, :term:`file objects <file object>`, and objects of any classes you define with an :meth:`~object.__iter__` method or with a :meth:`~object.__getitem__` method that implements :term:`sequence` semantics. Iterables can be used in a :keyword:`for` loop and in many other places where a sequence is needed (...
:class:`dict`, :term:`file objects <file object>`, and objects of any classes you define with an :meth:`~object.__iter__` method or with a :meth:`~object.__getitem__` method that implements :term:`sequence` semantics. Iterables can be used in a :keyword:`for` loop and in many other places where a sequence is needed (...
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immortal *Immortal objects* are a CPython implementation detail introduced in :pep:`683`. If an object is immortal, its :term:`reference count` is never modified, and therefore it is never deallocated while the interpreter is running. For example, :const:`True` and :const:`None` are immortal in CPython.
trusted_official_docs
CPython Docs
immortal *Immortal objects* are a CPython implementation detail introduced in :pep:`683`. If an object is immortal, its :term:`reference count` is never modified, and therefore it is never deallocated while the interpreter is running. For example, :const:`True` and :const:`None` are immortal in CPython.
immortal *Immortal objects* are a CPython implementation detail introduced in :pep:`683`. If an object is immortal, its :term:`reference count` is never modified, and therefore it is never deallocated while the interpreter is running. For example, :const:`True` and :const:`None` are immortal in CPython.
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but it is a key element of the :term:`CPython` implementation. Programmers can call the :func:`sys.getrefcount` function to return the reference count for a particular object. In :term:`CPython`, reference counts are not considered to be stable or well-defined values; the number of references to an object, and how th...
trusted_official_docs
CPython Docs
but it is a key element of the :term:`CPython` implementation. Programmers can call the :func:`sys.getrefcount` function to return the reference count for a particular object. In :term:`CPython`, reference counts are not considered to be stable or well-defined values; the number of references to an object, and how th...
but it is a key element of the :term:`CPython` implementation. Programmers can call the :func:`sys.getrefcount` function to return the reference count for a particular object. In :term:`CPython`, reference counts are not considered to be stable or well-defined values; the number of references to an object, and how th...
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data races can only happen in native code, but that :term:`native code` might be exposed in a Python API. See also :term:`race condition` and :term:`thread-safe`. deadlock A situation in which two or more tasks (threads, processes, or coroutines) wait indefinitely for each other to release resources or complete actio...
trusted_official_docs
CPython Docs
data races can only happen in native code, but that :term:`native code` might be exposed in a Python API. See also :term:`race condition` and :term:`thread-safe`. deadlock A situation in which two or more tasks (threads, processes, or coroutines) wait indefinitely for each other to release resources or complete actio...
data races can only happen in native code, but that :term:`native code` might be exposed in a Python API. See also :term:`race condition` and :term:`thread-safe`. deadlock A situation in which two or more tasks (threads, processes, or coroutines) wait indefinitely for each other to release resources or complete actio...
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importer An object that both finds and loads a module; both a :term:`finder` and :term:`loader` object. index A numeric value that represents the position of an element in a :term:`sequence`.
trusted_official_docs
CPython Docs
importer An object that both finds and loads a module; both a :term:`finder` and :term:`loader` object. index A numeric value that represents the position of an element in a :term:`sequence`.
importer An object that both finds and loads a module; both a :term:`finder` and :term:`loader` object. index A numeric value that represents the position of an element in a :term:`sequence`.
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that automatically for you, creating a temporary unnamed variable to hold the iterator for the duration of the loop. See also :term:`iterator`, :term:`sequence`, and :term:`generator`. iterator An object representing a stream of data. Repeated calls to the iterator's :meth:`~iterator.__next__` method (or passing it t...
trusted_official_docs
CPython Docs
that automatically for you, creating a temporary unnamed variable to hold the iterator for the duration of the loop. See also :term:`iterator`, :term:`sequence`, and :term:`generator`. iterator An object representing a stream of data. Repeated calls to the iterator's :meth:`~iterator.__next__` method (or passing it t...
that automatically for you, creating a temporary unnamed variable to hold the iterator for the duration of the loop. See also :term:`iterator`, :term:`sequence`, and :term:`generator`. iterator An object representing a stream of data. Repeated calls to the iterator's :meth:`~iterator.__next__` method (or passing it t...
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encoding must guarantee to successfully decode all bytes below 128. If the file system encoding fails to provide this guarantee, API functions can raise :exc:`UnicodeError`. The :func:`sys.getfilesystemencoding` and :func:`sys.getfilesystemencodeerrors` functions can be used to get the filesystem encoding and error h...
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encoding must guarantee to successfully decode all bytes below 128. If the file system encoding fails to provide this guarantee, API functions can raise :exc:`UnicodeError`. The :func:`sys.getfilesystemencoding` and :func:`sys.getfilesystemencodeerrors` functions can be used to get the filesystem encoding and error h...
encoding must guarantee to successfully decode all bytes below 128. If the file system encoding fails to provide this guarantee, API functions can raise :exc:`UnicodeError`. The :func:`sys.getfilesystemencoding` and :func:`sys.getfilesystemencodeerrors` functions can be used to get the filesystem encoding and error h...
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objects can be used for various operations that work with binary data; these include compression, saving to a binary file, and sending over a socket. Some operations need the binary data to be mutable. The documentation often refers to these as "read-write bytes-like objects". Example mutable buffer objects include :...
trusted_official_docs
CPython Docs
objects can be used for various operations that work with binary data; these include compression, saving to a binary file, and sending over a socket. Some operations need the binary data to be mutable. The documentation often refers to these as "read-write bytes-like objects". Example mutable buffer objects include :...
objects can be used for various operations that work with binary data; these include compression, saving to a binary file, and sending over a socket. Some operations need the binary data to be mutable. The documentation often refers to these as "read-write bytes-like objects". Example mutable buffer objects include :...
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A list of bytecode instructions can be found in the documentation for :ref:`the dis module <bytecodes>`. callable A callable is an object that can be called, possibly with a set of arguments (see :term:`argument`), with the following syntax::
trusted_official_docs
CPython Docs
A list of bytecode instructions can be found in the documentation for :ref:`the dis module <bytecodes>`. callable A callable is an object that can be called, possibly with a set of arguments (see :term:`argument`), with the following syntax::
A list of bytecode instructions can be found in the documentation for :ref:`the dis module <bytecodes>`. callable A callable is an object that can be called, possibly with a set of arguments (see :term:`argument`), with the following syntax::
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Hashability makes an object usable as a dictionary key and a set member, because these data structures use the hash value internally. Most of Python's immutable built-in objects are hashable; mutable containers (such as lists or dictionaries) are not; immutable containers (such as tuples and frozensets) are only hash...
trusted_official_docs
CPython Docs
Hashability makes an object usable as a dictionary key and a set member, because these data structures use the hash value internally. Most of Python's immutable built-in objects are hashable; mutable containers (such as lists or dictionaries) are not; immutable containers (such as tuples and frozensets) are only hash...
Hashability makes an object usable as a dictionary key and a set member, because these data structures use the hash value internally. Most of Python's immutable built-in objects are hashable; mutable containers (such as lists or dictionaries) are not; immutable containers (such as tuples and frozensets) are only hash...
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See :class:`importlib.abc.PathEntryFinder` for the methods that path entry finders implement. path entry hook A callable on the :data:`sys.path_hooks` list which returns a :term:`path entry finder` if it knows how to find modules on a specific :term:`path entry`.
trusted_official_docs
CPython Docs
See :class:`importlib.abc.PathEntryFinder` for the methods that path entry finders implement. path entry hook A callable on the :data:`sys.path_hooks` list which returns a :term:`path entry finder` if it knows how to find modules on a specific :term:`path entry`.
See :class:`importlib.abc.PathEntryFinder` for the methods that path entry finders implement. path entry hook A callable on the :data:`sys.path_hooks` list which returns a :term:`path entry finder` if it knows how to find modules on a specific :term:`path entry`.
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or with the factory function :func:`collections.namedtuple`. The latter techniques also add some extra methods that may not be found in hand-written or built-in named tuples. namespace The place where a variable is stored. Namespaces are implemented as dictionaries. There are the local, global and built-in namespaces...
trusted_official_docs
CPython Docs
or with the factory function :func:`collections.namedtuple`. The latter techniques also add some extra methods that may not be found in hand-written or built-in named tuples. namespace The place where a variable is stored. Namespaces are implemented as dictionaries. There are the local, global and built-in namespaces...
or with the factory function :func:`collections.namedtuple`. The latter techniques also add some extra methods that may not be found in hand-written or built-in named tuples. namespace The place where a variable is stored. Namespaces are implemented as dictionaries. There are the local, global and built-in namespaces...
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The :func:`sys.getfilesystemencoding` and :func:`sys.getfilesystemencodeerrors` functions can be used to get the filesystem encoding and error handler. The :term:`filesystem encoding and error handler` are configured at Python startup by the :c:func:`PyConfig_Read` function: see :c:member:`~PyConfig.filesystem_encodi...
trusted_official_docs
CPython Docs
The :func:`sys.getfilesystemencoding` and :func:`sys.getfilesystemencodeerrors` functions can be used to get the filesystem encoding and error handler. The :term:`filesystem encoding and error handler` are configured at Python startup by the :c:func:`PyConfig_Read` function: see :c:member:`~PyConfig.filesystem_encodi...
The :func:`sys.getfilesystemencoding` and :func:`sys.getfilesystemencodeerrors` functions can be used to get the filesystem encoding and error handler. The :term:`filesystem encoding and error handler` are configured at Python startup by the :c:func:`PyConfig_Read` function: see :c:member:`~PyConfig.filesystem_encodi...
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multi-threaded programs, mutable objects that are shared between threads require careful synchronization to avoid :term:`race conditions <race condition>`. See also :term:`immutable`, :term:`thread-safe`, and :term:`concurrent modification`. named tuple The term "named tuple" applies to any type or class that inherits...
trusted_official_docs
CPython Docs
multi-threaded programs, mutable objects that are shared between threads require careful synchronization to avoid :term:`race conditions <race condition>`. See also :term:`immutable`, :term:`thread-safe`, and :term:`concurrent modification`. named tuple The term "named tuple" applies to any type or class that inherits...
multi-threaded programs, mutable objects that are shared between threads require careful synchronization to avoid :term:`race conditions <race condition>`. See also :term:`immutable`, :term:`thread-safe`, and :term:`concurrent modification`. named tuple The term "named tuple" applies to any type or class that inherits...
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and pending try-statements). When the *generator iterator* resumes, it picks up where it left off (in contrast to functions which start fresh on every invocation). .. index:: single: generator expression
trusted_official_docs
CPython Docs
and pending try-statements). When the *generator iterator* resumes, it picks up where it left off (in contrast to functions which start fresh on every invocation). .. index:: single: generator expression
and pending try-statements). When the *generator iterator* resumes, it picks up where it left off (in contrast to functions which start fresh on every invocation). .. index:: single: generator expression
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See :class:`importlib.abc.MetaPathFinder` for the methods that meta path finders implement. metaclass The class of a class. Class definitions create a class name, a class dictionary, and a list of base classes. The metaclass is responsible for taking those three arguments and creating the class. Most object oriented...
trusted_official_docs
CPython Docs
See :class:`importlib.abc.MetaPathFinder` for the methods that meta path finders implement. metaclass The class of a class. Class definitions create a class name, a class dictionary, and a list of base classes. The metaclass is responsible for taking those three arguments and creating the class. Most object oriented...
See :class:`importlib.abc.MetaPathFinder` for the methods that meta path finders implement. metaclass The class of a class. Class definitions create a class name, a class dictionary, and a list of base classes. The metaclass is responsible for taking those three arguments and creating the class. Most object oriented...
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locale encoding On Unix, it is the encoding of the LC_CTYPE locale. It can be set with :func:`locale.setlocale(locale.LC_CTYPE, new_locale) <locale.setlocale>`. On Windows, it is the ANSI code page (ex: ``"cp1252"``).
trusted_official_docs
CPython Docs
locale encoding On Unix, it is the encoding of the LC_CTYPE locale. It can be set with :func:`locale.setlocale(locale.LC_CTYPE, new_locale) <locale.setlocale>`. On Windows, it is the ANSI code page (ex: ``"cp1252"``).
locale encoding On Unix, it is the encoding of the LC_CTYPE locale. It can be set with :func:`locale.setlocale(locale.LC_CTYPE, new_locale) <locale.setlocale>`. On Windows, it is the ANSI code page (ex: ``"cp1252"``).
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a single var-positional parameter or bare ``*`` in the parameter list of the function definition before them, for example *kw_only1* and *kw_only2* in the following:: def func(arg, *, kw_only1, kw_only2): ...
trusted_official_docs
CPython Docs
a single var-positional parameter or bare ``*`` in the parameter list of the function definition before them, for example *kw_only1* and *kw_only2* in the following:: def func(arg, *, kw_only1, kw_only2): ...
a single var-positional parameter or bare ``*`` in the parameter list of the function definition before them, for example *kw_only1* and *kw_only2* in the following:: def func(arg, *, kw_only1, kw_only2): ...
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module implements a function. For instance, writing :func:`random.seed` or :func:`itertools.islice` makes it clear that those functions are implemented by the :mod:`random` and :mod:`itertools` modules, respectively. namespace package A :term:`package` which serves only as a container for subpackages. Namespace packag...
trusted_official_docs
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module implements a function. For instance, writing :func:`random.seed` or :func:`itertools.islice` makes it clear that those functions are implemented by the :mod:`random` and :mod:`itertools` modules, respectively. namespace package A :term:`package` which serves only as a container for subpackages. Namespace packag...
module implements a function. For instance, writing :func:`random.seed` or :func:`itertools.islice` makes it clear that those functions are implemented by the :mod:`random` and :mod:`itertools` modules, respectively. namespace package A :term:`package` which serves only as a container for subpackages. Namespace packag...
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:term:`sequence`. A slice object is created when using the :ref:`slicing <slicings>` form of :ref:`subscript notation <subscriptions>`, with colons inside square brackets, such as in ``variable_name[1:3:5]``. soft deprecated A soft deprecated API should not be used in new code, but it is safe for already existing cod...
trusted_official_docs
CPython Docs
:term:`sequence`. A slice object is created when using the :ref:`slicing <slicings>` form of :ref:`subscript notation <subscriptions>`, with colons inside square brackets, such as in ``variable_name[1:3:5]``. soft deprecated A soft deprecated API should not be used in new code, but it is safe for already existing cod...
:term:`sequence`. A slice object is created when using the :ref:`slicing <slicings>` form of :ref:`subscript notation <subscriptions>`, with colons inside square brackets, such as in ``variable_name[1:3:5]``. soft deprecated A soft deprecated API should not be used in new code, but it is safe for already existing cod...
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new code, but it is safe for already existing code to use it. The API remains documented and tested, but will not be enhanced further. Soft deprecation, unlike normal deprecation, does not plan on removing the API and will not emit warnings.
trusted_official_docs
CPython Docs
new code, but it is safe for already existing code to use it. The API remains documented and tested, but will not be enhanced further. Soft deprecation, unlike normal deprecation, does not plan on removing the API and will not emit warnings.
new code, but it is safe for already existing code to use it. The API remains documented and tested, but will not be enhanced further. Soft deprecation, unlike normal deprecation, does not plan on removing the API and will not emit warnings.
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provisional package See :term:`provisional API`. Python 3000 Nickname for the Python 3.x release line (coined long ago when the release of version 3 was something in the distant future.) This is also abbreviated "Py3k".
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provisional package See :term:`provisional API`. Python 3000 Nickname for the Python 3.x release line (coined long ago when the release of version 3 was something in the distant future.) This is also abbreviated "Py3k".
provisional package See :term:`provisional API`. Python 3000 Nickname for the Python 3.x release line (coined long ago when the release of version 3 was something in the distant future.) This is also abbreviated "Py3k".
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a coroutine function defined with :keyword:`async def` except that it contains :keyword:`yield` expressions for producing a series of values usable in an :keyword:`async for` loop. Usually refers to an asynchronous generator function, but may refer to an *asynchronous generator iterator* in some contexts. In cases whe...
trusted_official_docs
CPython Docs
a coroutine function defined with :keyword:`async def` except that it contains :keyword:`yield` expressions for producing a series of values usable in an :keyword:`async for` loop. Usually refers to an asynchronous generator function, but may refer to an *asynchronous generator iterator* in some contexts. In cases whe...
a coroutine function defined with :keyword:`async def` except that it contains :keyword:`yield` expressions for producing a series of values usable in an :keyword:`async for` loop. Usually refers to an asynchronous generator function, but may refer to an *asynchronous generator iterator* in some contexts. In cases whe...
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iterable using a :keyword:`for` statement. Many other languages don't have this type of construct, so people unfamiliar with Python sometimes use a numerical counter instead:: for i in range(len(food)): print(food[i])
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iterable using a :keyword:`for` statement. Many other languages don't have this type of construct, so people unfamiliar with Python sometimes use a numerical counter instead:: for i in range(len(food)): print(food[i])
iterable using a :keyword:`for` statement. Many other languages don't have this type of construct, so people unfamiliar with Python sometimes use a numerical counter instead:: for i in range(len(food)): print(food[i])
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See also :term:`text file` for a file object able to read and write :class:`str` objects. borrowed reference In Python's C API, a borrowed reference is a reference to an object, where the code using the object does not own the reference. It becomes a dangling pointer if the object is destroyed. For example, a garbag...
trusted_official_docs
CPython Docs
See also :term:`text file` for a file object able to read and write :class:`str` objects. borrowed reference In Python's C API, a borrowed reference is a reference to an object, where the code using the object does not own the reference. It becomes a dangling pointer if the object is destroyed. For example, a garbag...
See also :term:`text file` for a file object able to read and write :class:`str` objects. borrowed reference In Python's C API, a borrowed reference is a reference to an object, where the code using the object does not own the reference. It becomes a dangling pointer if the object is destroyed. For example, a garbag...
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unit of source code, generated by the :ref:`lexical analyzer <lexical>` (also called the *tokenizer*). Names, numbers, strings, operators, newlines and similar are represented by tokens. The :mod:`tokenize` module exposes Python's lexical analyzer. The :mod:`token` module contains information on the various types of t...
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unit of source code, generated by the :ref:`lexical analyzer <lexical>` (also called the *tokenizer*). Names, numbers, strings, operators, newlines and similar are represented by tokens. The :mod:`tokenize` module exposes Python's lexical analyzer. The :mod:`token` module contains information on the various types of t...
unit of source code, generated by the :ref:`lexical analyzer <lexical>` (also called the *tokenizer*). Names, numbers, strings, operators, newlines and similar are represented by tokens. The :mod:`tokenize` module exposes Python's lexical analyzer. The :mod:`token` module contains information on the various types of t...
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See also the :term:`parameter` glossary entry, the FAQ question on :ref:`the difference between arguments and parameters <faq-argument-vs-parameter>`, and :pep:`362`. asynchronous context manager An object which controls the environment seen in an :keyword:`async with` statement by defining :meth:`~object.__aenter__`...
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CPython Docs
See also the :term:`parameter` glossary entry, the FAQ question on :ref:`the difference between arguments and parameters <faq-argument-vs-parameter>`, and :pep:`362`. asynchronous context manager An object which controls the environment seen in an :keyword:`async with` statement by defining :meth:`~object.__aenter__`...
See also the :term:`parameter` glossary entry, the FAQ question on :ref:`the difference between arguments and parameters <faq-argument-vs-parameter>`, and :pep:`362`. asynchronous context manager An object which controls the environment seen in an :keyword:`async with` statement by defining :meth:`~object.__aenter__`...
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>>> import __future__ >>> __future__.division _Feature((2, 2, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0), 8192) garbage collection The process of freeing memory when it is not used anymore. Python performs garbage collection via reference counting and a cyclic garbage collector that is able to detect and break reference ...
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CPython Docs
>>> import __future__ >>> __future__.division _Feature((2, 2, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0), 8192) garbage collection The process of freeing memory when it is not used anymore. Python performs garbage collection via reference counting and a cyclic garbage collector that is able to detect and break reference ...
>>> import __future__ >>> __future__.division _Feature((2, 2, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0), 8192) garbage collection The process of freeing memory when it is not used anymore. Python performs garbage collection via reference counting and a cyclic garbage collector that is able to detect and break reference ...
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object Any data with state (attributes or value) and defined behavior (methods). Also the ultimate base class of any :term:`new-style class`. optimized scope A scope where target local variable names are reliably known to the compiler when the code is compiled, allowing optimization of read and write access to these...
trusted_official_docs
CPython Docs
object Any data with state (attributes or value) and defined behavior (methods). Also the ultimate base class of any :term:`new-style class`. optimized scope A scope where target local variable names are reliably known to the compiler when the code is compiled, allowing optimization of read and write access to these...
object Any data with state (attributes or value) and defined behavior (methods). Also the ultimate base class of any :term:`new-style class`. optimized scope A scope where target local variable names are reliably known to the compiler when the code is compiled, allowing optimization of read and write access to these...
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contiguous .. index:: C-contiguous, Fortran contiguous A buffer is considered contiguous exactly if it is either *C-contiguous* or *Fortran contiguous*. Zero-dimensional buffers are C and Fortran contiguous. In one-dimensional arrays, the items must be laid out in memory next to each other, in order of increasing i...
trusted_official_docs
CPython Docs
contiguous .. index:: C-contiguous, Fortran contiguous A buffer is considered contiguous exactly if it is either *C-contiguous* or *Fortran contiguous*. Zero-dimensional buffers are C and Fortran contiguous. In one-dimensional arrays, the items must be laid out in memory next to each other, in order of increasing i...
contiguous .. index:: C-contiguous, Fortran contiguous A buffer is considered contiguous exactly if it is either *C-contiguous* or *Fortran contiguous*. Zero-dimensional buffers are C and Fortran contiguous. In one-dimensional arrays, the items must be laid out in memory next to each other, in order of increasing i...
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or describing a new feature for Python or its processes or environment. PEPs should provide a concise technical specification and a rationale for proposed features. PEPs are intended to be the primary mechanisms for proposing major new features, for collecting community input on an issue, and for documenting the desi...
trusted_official_docs
CPython Docs
or describing a new feature for Python or its processes or environment. PEPs should provide a concise technical specification and a rationale for proposed features. PEPs are intended to be the primary mechanisms for proposing major new features, for collecting community input on an issue, and for documenting the desi...
or describing a new feature for Python or its processes or environment. PEPs should provide a concise technical specification and a rationale for proposed features. PEPs are intended to be the primary mechanisms for proposing major new features, for collecting community input on an issue, and for documenting the desi...
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tool that reads Python code and analyzes it, looking for issues such as incorrect types. See also :term:`type hints <type hint>` and the :mod:`typing` module. stdlib An abbreviation of :term:`standard library`.
trusted_official_docs
CPython Docs
tool that reads Python code and analyzes it, looking for issues such as incorrect types. See also :term:`type hints <type hint>` and the :mod:`typing` module. stdlib An abbreviation of :term:`standard library`.
tool that reads Python code and analyzes it, looking for issues such as incorrect types. See also :term:`type hints <type hint>` and the :mod:`typing` module. stdlib An abbreviation of :term:`standard library`.
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context management protocol The :meth:`~object.__enter__` and :meth:`~object.__exit__` methods called by the :keyword:`with` statement. See :pep:`343`. context manager An object which implements the :term:`context management protocol` and controls the environment seen in a :keyword:`with` statement. See :pep:`343`.
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CPython Docs
context management protocol The :meth:`~object.__enter__` and :meth:`~object.__exit__` methods called by the :keyword:`with` statement. See :pep:`343`. context manager An object which implements the :term:`context management protocol` and controls the environment seen in a :keyword:`with` statement. See :pep:`343`.
context management protocol The :meth:`~object.__enter__` and :meth:`~object.__exit__` methods called by the :keyword:`with` statement. See :pep:`343`. context manager An object which implements the :term:`context management protocol` and controls the environment seen in a :keyword:`with` statement. See :pep:`343`.
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path based finder One of the default :term:`meta path finders <meta path finder>` which searches an :term:`import path` for modules. path-like object An object representing a file system path. A path-like object is either a :class:`str` or :class:`bytes` object representing a path, or an object implementing the :cla...
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path based finder One of the default :term:`meta path finders <meta path finder>` which searches an :term:`import path` for modules. path-like object An object representing a file system path. A path-like object is either a :class:`str` or :class:`bytes` object representing a path, or an object implementing the :cla...
path based finder One of the default :term:`meta path finders <meta path finder>` which searches an :term:`import path` for modules. path-like object An object representing a file system path. A path-like object is either a :class:`str` or :class:`bytes` object representing a path, or an object implementing the :cla...
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a key in a dictionary. Immutable objects are inherently :term:`thread-safe` because their state cannot be modified after creation, eliminating concerns about improperly synchronized :term:`concurrent modification`. import path A list of locations (or :term:`path entries <path entry>`) that are searched by the :term:`...
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a key in a dictionary. Immutable objects are inherently :term:`thread-safe` because their state cannot be modified after creation, eliminating concerns about improperly synchronized :term:`concurrent modification`. import path A list of locations (or :term:`path entries <path entry>`) that are searched by the :term:`...
a key in a dictionary. Immutable objects are inherently :term:`thread-safe` because their state cannot be modified after creation, eliminating concerns about improperly synchronized :term:`concurrent modification`. import path A list of locations (or :term:`path entries <path entry>`) that are searched by the :term:`...
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tools in Python accept key functions to control how elements are ordered or grouped. They include :func:`min`, :func:`max`, :func:`sorted`, :meth:`list.sort`, :func:`heapq.merge`, :func:`heapq.nsmallest`, :func:`heapq.nlargest`, and :func:`itertools.groupby`. There are several ways to create a key function. For example...
trusted_official_docs
CPython Docs
tools in Python accept key functions to control how elements are ordered or grouped. They include :func:`min`, :func:`max`, :func:`sorted`, :meth:`list.sort`, :func:`heapq.merge`, :func:`heapq.nsmallest`, :func:`heapq.nlargest`, and :func:`itertools.groupby`. There are several ways to create a key function. For example...
tools in Python accept key functions to control how elements are ordered or grouped. They include :func:`min`, :func:`max`, :func:`sorted`, :meth:`list.sort`, :func:`heapq.merge`, :func:`heapq.nsmallest`, :func:`heapq.nlargest`, and :func:`itertools.groupby`. There are several ways to create a key function. For example...
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not enforced by Python but they are useful to :term:`static type checkers <static type checker>`. They can also aid IDEs with code completion and refactoring. Type hints of global variables, class attributes, and functions, but not local variables, can be accessed using :func:`typing.get_type_hints`.
trusted_official_docs
CPython Docs
not enforced by Python but they are useful to :term:`static type checkers <static type checker>`. They can also aid IDEs with code completion and refactoring. Type hints of global variables, class attributes, and functions, but not local variables, can be accessed using :func:`typing.get_type_hints`.
not enforced by Python but they are useful to :term:`static type checkers <static type checker>`. They can also aid IDEs with code completion and refactoring. Type hints of global variables, class attributes, and functions, but not local variables, can be accessed using :func:`typing.get_type_hints`.
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goal of the :term:`cyclic garbage collector <garbage collection>` is to identify these groups and break the reference cycles so that the memory can be reclaimed. data race A situation where multiple threads access the same memory location concurrently, at least one of the accesses is a write, and the threads do not ...
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goal of the :term:`cyclic garbage collector <garbage collection>` is to identify these groups and break the reference cycles so that the memory can be reclaimed. data race A situation where multiple threads access the same memory location concurrently, at least one of the accesses is a write, and the threads do not ...
goal of the :term:`cyclic garbage collector <garbage collection>` is to identify these groups and break the reference cycles so that the memory can be reclaimed. data race A situation where multiple threads access the same memory location concurrently, at least one of the accesses is a write, and the threads do not ...
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CPython Docs
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@staticmethod def f(arg): ... The same concept exists for classes, but is less commonly used there. See the documentation for :ref:`function definitions <function>` and :ref:`class definitions <class>` for more about decorators.
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CPython Docs
@staticmethod def f(arg): ... The same concept exists for classes, but is less commonly used there. See the documentation for :ref:`function definitions <function>` and :ref:`class definitions <class>` for more about decorators.
@staticmethod def f(arg): ... The same concept exists for classes, but is less commonly used there. See the documentation for :ref:`function definitions <function>` and :ref:`class definitions <class>` for more about decorators.
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ensure :term:`thread-safe` access to shared data. Alternative design patterns to locks exist such as queues, producer/consumer patterns, and thread-local state. See also :term:`deadlock`, and :term:`reentrant`. lock-free An operation that does not acquire any :term:`lock` and uses atomic CPU instructions to ensure co...
trusted_official_docs
CPython Docs
ensure :term:`thread-safe` access to shared data. Alternative design patterns to locks exist such as queues, producer/consumer patterns, and thread-local state. See also :term:`deadlock`, and :term:`reentrant`. lock-free An operation that does not acquire any :term:`lock` and uses atomic CPU instructions to ensure co...
ensure :term:`thread-safe` access to shared data. Alternative design patterns to locks exist such as queues, producer/consumer patterns, and thread-local state. See also :term:`deadlock`, and :term:`reentrant`. lock-free An operation that does not acquire any :term:`lock` and uses atomic CPU instructions to ensure co...
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metaclasses can provide powerful, elegant solutions. They have been used for logging attribute access, adding thread-safety, tracking object creation, implementing singletons, and many other tasks. More information can be found in :ref:`metaclasses`.
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CPython Docs
metaclasses can provide powerful, elegant solutions. They have been used for logging attribute access, adding thread-safety, tracking object creation, implementing singletons, and many other tasks. More information can be found in :ref:`metaclasses`.
metaclasses can provide powerful, elegant solutions. They have been used for logging attribute access, adding thread-safety, tracking object creation, implementing singletons, and many other tasks. More information can be found in :ref:`metaclasses`.
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a function might declare that it requires the GIL to be held in order to use it. This refers to having an :term:`attached thread state`. global state Data that is accessible throughout a program, such as module-level variables, class variables, or C static variables in :term:`extension modules <extension module>`. I...
trusted_official_docs
CPython Docs
a function might declare that it requires the GIL to be held in order to use it. This refers to having an :term:`attached thread state`. global state Data that is accessible throughout a program, such as module-level variables, class variables, or C static variables in :term:`extension modules <extension module>`. I...
a function might declare that it requires the GIL to be held in order to use it. This refers to having an :term:`attached thread state`. global state Data that is accessible throughout a program, such as module-level variables, class variables, or C static variables in :term:`extension modules <extension module>`. I...
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double quotes within a string and they can span multiple lines without the use of the continuation character, making them especially useful when writing docstrings. type The type of a Python object determines what kind of object it is; every object has a type. An object's type is accessible as its :attr:`~object.__c...
trusted_official_docs
CPython Docs
double quotes within a string and they can span multiple lines without the use of the continuation character, making them especially useful when writing docstrings. type The type of a Python object determines what kind of object it is; every object has a type. An object's type is accessible as its :attr:`~object.__c...
double quotes within a string and they can span multiple lines without the use of the continuation character, making them especially useful when writing docstrings. type The type of a Python object determines what kind of object it is; every object has a type. An object's type is accessible as its :attr:`~object.__c...
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dangling pointer if the object is destroyed. For example, a garbage collection can remove the last :term:`strong reference` to the object and so destroy it. Calling :c:func:`Py_INCREF` on the :term:`borrowed reference` is recommended to convert it to a :term:`strong reference` in-place, except when the object cannot ...
trusted_official_docs
CPython Docs
dangling pointer if the object is destroyed. For example, a garbage collection can remove the last :term:`strong reference` to the object and so destroy it. Calling :c:func:`Py_INCREF` on the :term:`borrowed reference` is recommended to convert it to a :term:`strong reference` in-place, except when the object cannot ...
dangling pointer if the object is destroyed. For example, a garbage collection can remove the last :term:`strong reference` to the object and so destroy it. Calling :c:func:`Py_INCREF` on the :term:`borrowed reference` is recommended to convert it to a :term:`strong reference` in-place, except when the object cannot ...
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extension module A module written in C or C++, using Python's C API to interact with the core and with user code. f-string f-strings String literals prefixed with ``f`` or ``F`` are commonly called "f-strings" which is short for :ref:`formatted string literals <f-strings>`. See also :pep:`498`.
trusted_official_docs
CPython Docs
extension module A module written in C or C++, using Python's C API to interact with the core and with user code. f-string f-strings String literals prefixed with ``f`` or ``F`` are commonly called "f-strings" which is short for :ref:`formatted string literals <f-strings>`. See also :pep:`498`.
extension module A module written in C or C++, using Python's C API to interact with the core and with user code. f-string f-strings String literals prefixed with ``f`` or ``F`` are commonly called "f-strings" which is short for :ref:`formatted string literals <f-strings>`. See also :pep:`498`.
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IDLE An Integrated Development and Learning Environment for Python. :ref:`idle` is a basic editor and interpreter environment which ships with the standard distribution of Python. immortal *Immortal objects* are a CPython implementation detail introduced in :pep:`683`.
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CPython Docs
IDLE An Integrated Development and Learning Environment for Python. :ref:`idle` is a basic editor and interpreter environment which ships with the standard distribution of Python. immortal *Immortal objects* are a CPython implementation detail introduced in :pep:`683`.
IDLE An Integrated Development and Learning Environment for Python. :ref:`idle` is a basic editor and interpreter environment which ships with the standard distribution of Python. immortal *Immortal objects* are a CPython implementation detail introduced in :pep:`683`.
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.. _keyword-only_parameter: * :dfn:`keyword-only`: specifies an argument that can be supplied only by keyword. Keyword-only parameters can be defined by including a single var-positional parameter or bare ``*`` in the parameter list of the function definition before them, for example *kw_only1* and *kw_only2* in th...
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CPython Docs
.. _keyword-only_parameter: * :dfn:`keyword-only`: specifies an argument that can be supplied only by keyword. Keyword-only parameters can be defined by including a single var-positional parameter or bare ``*`` in the parameter list of the function definition before them, for example *kw_only1* and *kw_only2* in th...
.. _keyword-only_parameter: * :dfn:`keyword-only`: specifies an argument that can be supplied only by keyword. Keyword-only parameters can be defined by including a single var-positional parameter or bare ``*`` in the parameter list of the function definition before them, for example *kw_only1* and *kw_only2* in th...
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asynchronous context manager An object which controls the environment seen in an :keyword:`async with` statement by defining :meth:`~object.__aenter__` and :meth:`~object.__aexit__` methods. Introduced by :pep:`492`. asynchronous generator A function which returns an :term:`asynchronous generator iterator`. It looks ...
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CPython Docs
asynchronous context manager An object which controls the environment seen in an :keyword:`async with` statement by defining :meth:`~object.__aenter__` and :meth:`~object.__aexit__` methods. Introduced by :pep:`492`. asynchronous generator A function which returns an :term:`asynchronous generator iterator`. It looks ...
asynchronous context manager An object which controls the environment seen in an :keyword:`async with` statement by defining :meth:`~object.__aenter__` and :meth:`~object.__aexit__` methods. Introduced by :pep:`492`. asynchronous generator A function which returns an :term:`asynchronous generator iterator`. It looks ...
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programming language, as distributed on `python.org <https://www.python.org>`_. The term "CPython" is used when necessary to distinguish this implementation from others such as Jython or IronPython. current context The :term:`context` (:class:`contextvars.Context` object) that is currently used by :class:`~contextvar...
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CPython Docs
programming language, as distributed on `python.org <https://www.python.org>`_. The term "CPython" is used when necessary to distinguish this implementation from others such as Jython or IronPython. current context The :term:`context` (:class:`contextvars.Context` object) that is currently used by :class:`~contextvar...
programming language, as distributed on `python.org <https://www.python.org>`_. The term "CPython" is used when necessary to distinguish this implementation from others such as Jython or IronPython. current context The :term:`context` (:class:`contextvars.Context` object) that is currently used by :class:`~contextvar...
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* The three dots form of the :ref:`Ellipsis <bltin-ellipsis-object>` object. abstract base class Abstract base classes complement :term:`duck-typing` by providing a way to define interfaces when other techniques like :func:`hasattr` would be clumsy or subtly wrong (for example with :ref:`magic methods <special-look...
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CPython Docs
* The three dots form of the :ref:`Ellipsis <bltin-ellipsis-object>` object. abstract base class Abstract base classes complement :term:`duck-typing` by providing a way to define interfaces when other techniques like :func:`hasattr` would be clumsy or subtly wrong (for example with :ref:`magic methods <special-look...
* The three dots form of the :ref:`Ellipsis <bltin-ellipsis-object>` object. abstract base class Abstract base classes complement :term:`duck-typing` by providing a way to define interfaces when other techniques like :func:`hasattr` would be clumsy or subtly wrong (for example with :ref:`magic methods <special-look...
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kind of object it is; every object has a type. An object's type is accessible as its :attr:`~object.__class__` attribute or can be retrieved with ``type(obj)``. type alias A synonym for a type, created by assigning the type to an identifier.
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CPython Docs
kind of object it is; every object has a type. An object's type is accessible as its :attr:`~object.__class__` attribute or can be retrieved with ``type(obj)``. type alias A synonym for a type, created by assigning the type to an identifier.
kind of object it is; every object has a type. An object's type is accessible as its :attr:`~object.__class__` attribute or can be retrieved with ``type(obj)``. type alias A synonym for a type, created by assigning the type to an identifier.
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annotation A label associated with a variable, a class attribute or a function parameter or return value, used by convention as a :term:`type hint`. Annotations of local variables cannot be accessed at runtime, but annotations of global variables, class attributes, and functions can be retrieved by calling :func:`ann...
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annotation A label associated with a variable, a class attribute or a function parameter or return value, used by convention as a :term:`type hint`. Annotations of local variables cannot be accessed at runtime, but annotations of global variables, class attributes, and functions can be retrieved by calling :func:`ann...
annotation A label associated with a variable, a class attribute or a function parameter or return value, used by convention as a :term:`type hint`. Annotations of local variables cannot be accessed at runtime, but annotations of global variables, class attributes, and functions can be retrieved by calling :func:`ann...
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function, but may refer to a *generator iterator* in some contexts. In cases where the intended meaning isn't clear, using the full terms avoids ambiguity. generator iterator An object created by a :term:`generator` function.
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CPython Docs
function, but may refer to a *generator iterator* in some contexts. In cases where the intended meaning isn't clear, using the full terms avoids ambiguity. generator iterator An object created by a :term:`generator` function.
function, but may refer to a *generator iterator* in some contexts. In cases where the intended meaning isn't clear, using the full terms avoids ambiguity. generator iterator An object created by a :term:`generator` function.
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the Python 3.x release line (coined long ago when the release of version 3 was something in the distant future.) This is also abbreviated "Py3k". Pythonic An idea or piece of code which closely follows the most common idioms of the Python language, rather than implementing code using concepts common to other languag...
trusted_official_docs
CPython Docs
the Python 3.x release line (coined long ago when the release of version 3 was something in the distant future.) This is also abbreviated "Py3k". Pythonic An idea or piece of code which closely follows the most common idioms of the Python language, rather than implementing code using concepts common to other languag...
the Python 3.x release line (coined long ago when the release of version 3 was something in the distant future.) This is also abbreviated "Py3k". Pythonic An idea or piece of code which closely follows the most common idioms of the Python language, rather than implementing code using concepts common to other languag...
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See also :term:`borrowed reference`. subscript The expression in square brackets of a :ref:`subscription expression <subscriptions>`, for example, the ``3`` in ``items[3]``. Usually used to select an element of a container. Also called a :term:`key` when subscripting a :term:`mapping`, or an :term:`index` when subs...
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CPython Docs
See also :term:`borrowed reference`. subscript The expression in square brackets of a :ref:`subscription expression <subscriptions>`, for example, the ``3`` in ``items[3]``. Usually used to select an element of a container. Also called a :term:`key` when subscripting a :term:`mapping`, or an :term:`index` when subs...
See also :term:`borrowed reference`. subscript The expression in square brackets of a :ref:`subscription expression <subscriptions>`, for example, the ``3`` in ``items[3]``. Usually used to select an element of a container. Also called a :term:`key` when subscripting a :term:`mapping`, or an :term:`index` when subs...
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class objects. In earlier Python versions, only new-style classes could use Python's newer, versatile features like :attr:`~object.__slots__`, descriptors, properties, :meth:`~object.__getattribute__`, class methods, and static methods. non-deterministic Behavior where the outcome of a program can vary between executi...
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CPython Docs
class objects. In earlier Python versions, only new-style classes could use Python's newer, versatile features like :attr:`~object.__slots__`, descriptors, properties, :meth:`~object.__getattribute__`, class methods, and static methods. non-deterministic Behavior where the outcome of a program can vary between executi...
class objects. In earlier Python versions, only new-style classes could use Python's newer, versatile features like :attr:`~object.__slots__`, descriptors, properties, :meth:`~object.__getattribute__`, class methods, and static methods. non-deterministic Behavior where the outcome of a program can vary between executi...
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apply the requirement that an iterator define :meth:`~iterator.__iter__`. And also please note that :term:`free-threaded <free threading>` CPython does not guarantee :term:`thread-safe` behavior of iterator operations. key A value that identifies an entry in a :term:`mapping`. See also :term:`subscript`.
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CPython Docs
apply the requirement that an iterator define :meth:`~iterator.__iter__`. And also please note that :term:`free-threaded <free threading>` CPython does not guarantee :term:`thread-safe` behavior of iterator operations. key A value that identifies an entry in a :term:`mapping`. See also :term:`subscript`.
apply the requirement that an iterator define :meth:`~iterator.__iter__`. And also please note that :term:`free-threaded <free threading>` CPython does not guarantee :term:`thread-safe` behavior of iterator operations. key A value that identifies an entry in a :term:`mapping`. See also :term:`subscript`.
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so as to release the GIL when doing computationally intensive tasks such as compression or hashing. Also, the GIL is always released when doing I/O. As of Python 3.13, the GIL can be disabled using the :option:`--disable-gil` build configuration. After building Python with this option, code must be run with :option:`...
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so as to release the GIL when doing computationally intensive tasks such as compression or hashing. Also, the GIL is always released when doing I/O. As of Python 3.13, the GIL can be disabled using the :option:`--disable-gil` build configuration. After building Python with this option, code must be run with :option:`...
so as to release the GIL when doing computationally intensive tasks such as compression or hashing. Also, the GIL is always released when doing I/O. As of Python 3.13, the GIL can be disabled using the :option:`--disable-gil` build configuration. After building Python with this option, code must be run with :option:`...
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def func(*args, **kwargs): ... * :dfn:`var-keyword`: specifies that arbitrarily many keyword arguments can be provided (in addition to any keyword arguments already accepted by other parameters). Such a parameter can be defined by prepending the parameter name with ``**``, for example *kwargs* in the example above.
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CPython Docs
def func(*args, **kwargs): ... * :dfn:`var-keyword`: specifies that arbitrarily many keyword arguments can be provided (in addition to any keyword arguments already accepted by other parameters). Such a parameter can be defined by prepending the parameter name with ``**``, for example *kwargs* in the example above.
def func(*args, **kwargs): ... * :dfn:`var-keyword`: specifies that arbitrarily many keyword arguments can be provided (in addition to any keyword arguments already accepted by other parameters). Such a parameter can be defined by prepending the parameter name with ``**``, for example *kwargs* in the example above.
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``items[3]``. Usually used to select an element of a container. Also called a :term:`key` when subscripting a :term:`mapping`, or an :term:`index` when subscripting a :term:`sequence`. synchronization primitive A basic building block for coordinating (synchronizing) the execution of multiple threads to ensure :term:`...
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CPython Docs
``items[3]``. Usually used to select an element of a container. Also called a :term:`key` when subscripting a :term:`mapping`, or an :term:`index` when subscripting a :term:`sequence`. synchronization primitive A basic building block for coordinating (synchronizing) the execution of multiple threads to ensure :term:`...
``items[3]``. Usually used to select an element of a container. Also called a :term:`key` when subscripting a :term:`mapping`, or an :term:`index` when subscripting a :term:`sequence`. synchronization primitive A basic building block for coordinating (synchronizing) the execution of multiple threads to ensure :term:`...
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when called using the :meth:`~object.__anext__` method returns an awaitable object which will execute the body of the asynchronous generator function until the next :keyword:`yield` expression. Each :keyword:`yield` temporarily suspends processing, remembering the execution state (including local variables and pending...
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CPython Docs
when called using the :meth:`~object.__anext__` method returns an awaitable object which will execute the body of the asynchronous generator function until the next :keyword:`yield` expression. Each :keyword:`yield` temporarily suspends processing, remembering the execution state (including local variables and pending...
when called using the :meth:`~object.__anext__` method returns an awaitable object which will execute the body of the asynchronous generator function until the next :keyword:`yield` expression. Each :keyword:`yield` temporarily suspends processing, remembering the execution state (including local variables and pending...
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The main reason for interpreter shutdown is that the ``__main__`` module or the script being run has finished executing. iterable An object capable of returning its members one at a time. Examples of iterables include all sequence types (such as :class:`list`, :class:`str`, and :class:`tuple`) and some non-sequence ...
trusted_official_docs
CPython Docs
The main reason for interpreter shutdown is that the ``__main__`` module or the script being run has finished executing. iterable An object capable of returning its members one at a time. Examples of iterables include all sequence types (such as :class:`list`, :class:`str`, and :class:`tuple`) and some non-sequence ...
The main reason for interpreter shutdown is that the ``__main__`` module or the script being run has finished executing. iterable An object capable of returning its members one at a time. Examples of iterables include all sequence types (such as :class:`list`, :class:`str`, and :class:`tuple`) and some non-sequence ...
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of a function or :term:`lock` that allows it to be called or acquired multiple times by the same thread without causing errors or a :term:`deadlock`. For functions, reentrancy means the function can be safely called again before a previous invocation has completed, which is important when functions may be called recu...
trusted_official_docs
CPython Docs
of a function or :term:`lock` that allows it to be called or acquired multiple times by the same thread without causing errors or a :term:`deadlock`. For functions, reentrancy means the function can be safely called again before a previous invocation has completed, which is important when functions may be called recu...
of a function or :term:`lock` that allows it to be called or acquired multiple times by the same thread without causing errors or a :term:`deadlock`. For functions, reentrancy means the function can be safely called again before a previous invocation has completed, which is important when functions may be called recu...
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A :term:`thread state` that is active for the current OS thread. When a :term:`thread state` is attached, the OS thread has access to the full Python C API and can safely invoke the bytecode interpreter.
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CPython Docs
A :term:`thread state` that is active for the current OS thread. When a :term:`thread state` is attached, the OS thread has access to the full Python C API and can safely invoke the bytecode interpreter.
A :term:`thread state` that is active for the current OS thread. When a :term:`thread state` is attached, the OS thread has access to the full Python C API and can safely invoke the bytecode interpreter.
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all referenced free variables), the more general :term:`free variable` term is sometimes used even when the intended meaning is to refer specifically to closure variables. complex number An extension of the familiar real number system in which all numbers are expressed as a sum of a real part and an imaginary part. I...
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CPython Docs
all referenced free variables), the more general :term:`free variable` term is sometimes used even when the intended meaning is to refer specifically to closure variables. complex number An extension of the familiar real number system in which all numbers are expressed as a sum of a real part and an imaginary part. I...
all referenced free variables), the more general :term:`free variable` term is sometimes used even when the intended meaning is to refer specifically to closure variables. complex number An extension of the familiar real number system in which all numbers are expressed as a sum of a real part and an imaginary part. I...
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There are a variety of different text serialization :ref:`codecs <standard-encodings>`, which are collectively referred to as "text encodings". text file A :term:`file object` able to read and write :class:`str` objects. Often, a text file actually accesses a byte-oriented datastream and handles the :term:`text encod...
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CPython Docs
There are a variety of different text serialization :ref:`codecs <standard-encodings>`, which are collectively referred to as "text encodings". text file A :term:`file object` able to read and write :class:`str` objects. Often, a text file actually accesses a byte-oriented datastream and handles the :term:`text encod...
There are a variety of different text serialization :ref:`codecs <standard-encodings>`, which are collectively referred to as "text encodings". text file A :term:`file object` able to read and write :class:`str` objects. Often, a text file actually accesses a byte-oriented datastream and handles the :term:`text encod...
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Formal name for the *tokenizer*; see :term:`token`. list A built-in Python :term:`sequence`. Despite its name it is more akin to an array in other languages than to a linked list since access to elements is *O*\ (1).
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CPython Docs
Formal name for the *tokenizer*; see :term:`token`. list A built-in Python :term:`sequence`. Despite its name it is more akin to an array in other languages than to a linked list since access to elements is *O*\ (1).
Formal name for the *tokenizer*; see :term:`token`. list A built-in Python :term:`sequence`. Despite its name it is more akin to an array in other languages than to a linked list since access to elements is *O*\ (1).
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given moment. In :term:`free-threaded builds <free-threaded build>` of Python, threads can concurrently hold an attached thread state, allowing for true parallelism of the bytecode interpreter. attribute A value associated with an object which is usually referenced by name using dotted expressions. For example, if an...
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given moment. In :term:`free-threaded builds <free-threaded build>` of Python, threads can concurrently hold an attached thread state, allowing for true parallelism of the bytecode interpreter. attribute A value associated with an object which is usually referenced by name using dotted expressions. For example, if an...
given moment. In :term:`free-threaded builds <free-threaded build>` of Python, threads can concurrently hold an attached thread state, allowing for true parallelism of the bytecode interpreter. attribute A value associated with an object which is usually referenced by name using dotted expressions. For example, if an...
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See :ref:`Thread State and the Global Interpreter Lock <threads>` for more information. thread-safe A module, function, or class that behaves correctly when used by multiple threads concurrently. Thread-safe code uses appropriate :term:`synchronization primitives <synchronization primitive>` like :term:`locks <lock...
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See :ref:`Thread State and the Global Interpreter Lock <threads>` for more information. thread-safe A module, function, or class that behaves correctly when used by multiple threads concurrently. Thread-safe code uses appropriate :term:`synchronization primitives <synchronization primitive>` like :term:`locks <lock...
See :ref:`Thread State and the Global Interpreter Lock <threads>` for more information. thread-safe A module, function, or class that behaves correctly when used by multiple threads concurrently. Thread-safe code uses appropriate :term:`synchronization primitives <synchronization primitive>` like :term:`locks <lock...
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Serializing a string into a sequence of bytes is known as "encoding", and recreating the string from the sequence of bytes is known as "decoding". There are a variety of different text serialization :ref:`codecs <standard-encodings>`, which are collectively referred to as "text encodings".
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Serializing a string into a sequence of bytes is known as "encoding", and recreating the string from the sequence of bytes is known as "decoding". There are a variety of different text serialization :ref:`codecs <standard-encodings>`, which are collectively referred to as "text encodings".
Serializing a string into a sequence of bytes is known as "encoding", and recreating the string from the sequence of bytes is known as "decoding". There are a variety of different text serialization :ref:`codecs <standard-encodings>`, which are collectively referred to as "text encodings".
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a module. It must define the :meth:`!exec_module` and :meth:`!create_module` methods to implement the :class:`~importlib.abc.Loader` interface. A loader is typically returned by a :term:`finder`. See also: * :ref:`finders-and-loaders` * :class:`importlib.abc.Loader` * :pep:`302`
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a module. It must define the :meth:`!exec_module` and :meth:`!create_module` methods to implement the :class:`~importlib.abc.Loader` interface. A loader is typically returned by a :term:`finder`. See also: * :ref:`finders-and-loaders` * :class:`importlib.abc.Loader` * :pep:`302`
a module. It must define the :meth:`!exec_module` and :meth:`!create_module` methods to implement the :class:`~importlib.abc.Loader` interface. A loader is typically returned by a :term:`finder`. See also: * :ref:`finders-and-loaders` * :class:`importlib.abc.Loader` * :pep:`302`
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path finder A :term:`finder` returned by a search of :data:`sys.meta_path`. Meta path finders are related to, but different from :term:`path entry finders <path entry finder>`. See :class:`importlib.abc.MetaPathFinder` for the methods that meta path finders implement.
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path finder A :term:`finder` returned by a search of :data:`sys.meta_path`. Meta path finders are related to, but different from :term:`path entry finders <path entry finder>`. See :class:`importlib.abc.MetaPathFinder` for the methods that meta path finders implement.
path finder A :term:`finder` returned by a search of :data:`sys.meta_path`. Meta path finders are related to, but different from :term:`path entry finders <path entry finder>`. See :class:`importlib.abc.MetaPathFinder` for the methods that meta path finders implement.
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:meth:`~object.__reversed__`. Types that implement this expanded interface can be registered explicitly using :func:`~abc.ABCMeta.register`. For more documentation on sequence methods generally, see :ref:`Common Sequence Operations <typesseq-common>`. set comprehension A compact way to process all or part of the eleme...
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:meth:`~object.__reversed__`. Types that implement this expanded interface can be registered explicitly using :func:`~abc.ABCMeta.register`. For more documentation on sequence methods generally, see :ref:`Common Sequence Operations <typesseq-common>`. set comprehension A compact way to process all or part of the eleme...
:meth:`~object.__reversed__`. Types that implement this expanded interface can be registered explicitly using :func:`~abc.ABCMeta.register`. For more documentation on sequence methods generally, see :ref:`Common Sequence Operations <typesseq-common>`. set comprehension A compact way to process all or part of the eleme...
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if the object allows it. Such an attribute will not be accessible using a dotted expression, and would instead need to be retrieved with :func:`getattr`. awaitable An object that can be used in an :keyword:`await` expression. Can be a :term:`coroutine` or an object with an :meth:`~object.__await__` method. See also :...
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if the object allows it. Such an attribute will not be accessible using a dotted expression, and would instead need to be retrieved with :func:`getattr`. awaitable An object that can be used in an :keyword:`await` expression. Can be a :term:`coroutine` or an object with an :meth:`~object.__await__` method. See also :...
if the object allows it. Such an attribute will not be accessible using a dotted expression, and would instead need to be retrieved with :func:`getattr`. awaitable An object that can be used in an :keyword:`await` expression. Can be a :term:`coroutine` or an object with an :meth:`~object.__await__` method. See also :...
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dunder An informal short-hand for "double underscore", used when talking about a :term:`special method`. For example, ``__init__`` is often pronounced "dunder init". EAFP Easier to ask for forgiveness than permission. This common Python coding style assumes the existence of valid keys or attributes and catches excep...
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dunder An informal short-hand for "double underscore", used when talking about a :term:`special method`. For example, ``__init__`` is often pronounced "dunder init". EAFP Easier to ask for forgiveness than permission. This common Python coding style assumes the existence of valid keys or attributes and catches excep...
dunder An informal short-hand for "double underscore", used when talking about a :term:`special method`. For example, ``__init__`` is often pronounced "dunder init". EAFP Easier to ask for forgiveness than permission. This common Python coding style assumes the existence of valid keys or attributes and catches excep...
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