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SQLite - UNION Clause | SQLite UNION clause/operator is used to combine the results of two or more SELECT statements without returning any duplicate rows.
To use UNION, each SELECT must have the same number of columns selected, the same number of column expressions, the same data type, and have them in the same order, but they do not have to ... | [
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"text": "SQLite UNION clause/operator is used to combine the results of two or more SELECT statements without returning any duplicate rows."
},
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"text": "To use UNION, each SELECT must have the same number... |
DB2 - Storagegroups | This chapter describes the Database Storagegroups.
A set of Storage paths to store database table or objects, is a storage group. You can assign the tablespaces to the storage group. When you create a database, all the tablespaces take default storagegorup. The default storage group for a database is ‘IBMSTOGROUP’. Wh... | [
{
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"text": "This chapter describes the Database Storagegroups."
},
{
"code": null,
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"s": 1979,
"text": "A set of Storage paths to store database table or objects, is a storage group. You can assign the tablespaces to the storage group... |
Cost Accounting - Marginal Costing | Marginal cost is the change in the total cost when the quantity produced is incremented by one. That is, it is the cost of producing one more unit of a good. For example, let us suppose:
Variable cost per unit = Rs 25
Fixed cost = Rs 1,00,000
Cost of 10,000 units = 25 × 10,000 = Rs 2,50,000
To... | [
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"text": "Marginal cost is the change in the total cost when the quantity produced is incremented by one. That is, it is the cost of producing one more unit of a good. For example, let us suppose:"
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How to Create a Beautify Combo Chart in Python Plotly | by Di(Candice) Han | Towards Data Science | Nobody would deny that line and bar combo chart is one of the most widely used combo charts. In Excel, there is a build-in feature of Combo chart. It is also one of the most popular charts to analyze financial data.
In this tutorial, we are going to build a customized combo plot using plotly. The finished combo chart w... | [
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"text": "Nobody would deny that line and bar combo chart is one of the most widely used combo charts. In Excel, there is a build-in feature of Combo chart. It is also one of the most popular charts to analyze financial data."
},
{
"code": null,
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An Intuitive Explanation of Policy Gradient | by Adrien Lucas Ecoffet | Towards Data Science | This is part 1 of a series of tutorials which I expect to have 2 or 3 parts. The next part will be on A2C and, time providing, I hope to complete a part on various forms of off-policy policy gradients.
The notebooks for these posts can be found in this git repo.
Some of today’s most successful reinforcement learning al... | [
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"text": "This is part 1 of a series of tutorials which I expect to have 2 or 3 parts. The next part will be on A2C and, time providing, I hope to complete a part on various forms of off-policy policy gradients."
},
{
"code": null,
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Plotting Histogram in Python using Matplotlib - GeeksforGeeks | 29 Jul, 2021
A histogram is basically used to represent data provided in a form of some groups.It is accurate method for the graphical representation of numerical data distribution.It is a type of bar plot where X-axis represents the bin ranges while Y-axis gives information about frequency.
To create a histogram the f... | [
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"text": "A histogram is basically used to represent data provided in a form of some groups.It is accurate method for the graphical representation of numerical data distribu... |
ASP.NET MVC - Model Binding | ASP.NET MVC model binding allows you to map HTTP request data with a model. It is the process of creating .NET objects using the data sent by the browser in an HTTP request. The ASP.NET Web Forms developers who are new to ASP.Net MVC are mostly confused how the values from View get converted to the Model class when it ... | [
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"text": "ASP.NET MVC model binding allows you to map HTTP request data with a model. It is the process of creating .NET objects using the data sent by the browser in an HTTP request. The ASP.NET Web Forms developers who are new to ASP.Net MVC are mostly confused... |
C++ Array Library - data() Function | The C++ function std::array::data() return a pointer pointing to the first element of the array container. As array stores all elements in contigious memory location we can use this poiter to perform all valid operations on array.
Following is the declaration for std::array::data() function form std::array header.
valu... | [
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"text": "The C++ function std::array::data() return a pointer pointing to the first element of the array container. As array stores all elements in contigious memory location we can use this poiter to perform all valid operations on array."
},
{
"code": ... |
LeafletJS - Controls | Leaflet provides various controls such as zoom, attribution, scale, etc., where −
Zoom − By default, this control exists at the top left corner of the map. It has two buttons "+" and "–", using which you can zoom-in or zoom-out the map. You can remove the default zoom control by setting the zoomControl option of the ma... | [
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"text": "Leaflet provides various controls such as zoom, attribution, scale, etc., where −"
},
{
"code": null,
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"text": "Zoom − By default, this control exists at the top left corner of the map. It has two buttons \"+\" a... |
Level Order Tree Traversal in Data Structures | In this section we will see the level-order traversal technique for binary search tree.
Suppose we have one tree like this −
The traversal sequence will be like: 10, 5, 16, 8, 15, 20, 23
levelOrderTraverse(root):
Begin
define queue que to store nodes
insert root into the que.
while que is not empty, do
i... | [
{
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"text": "In this section we will see the level-order traversal technique for binary search tree."
},
{
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"text": "Suppose we have one tree like this −"
},
{
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How to Publish your Data Science Project as a Web App using Julia and Genie | by Tobias Skovgaard Jepsen | Towards Data Science | Communication is often an integral part of a data science project and entire business have been built around exposing the results of a data science process. For instance, platforms such as wyscout and StatsBomb collect soccer data and present their analysis of the data as a web app.
In this guide, I give a short introd... | [
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"text": "Communication is often an integral part of a data science project and entire business have been built around exposing the results of a data science process. For instance, platforms such as wyscout and StatsBomb collect soccer data and present their analysi... |
How to Write a SQL Query For a Specific Date Range and Date Time? - GeeksforGeeks | 28 Oct, 2021
In SQL, some problems require us to retrieve rows based on their dates and times. For such cases, we use the DATETIME2 datatype present in SQL. For this article, we will be using the Microsoft SQL Server as our database.
Note – Here, we will use the WHERE and BETWEEN clauses along with the query to limit o... | [
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"text": "In SQL, some problems require us to retrieve rows based on their dates and times. For such cases, we use the DATETIME2 datatype present in SQL. For this article, w... |
SAS - ODS | The output from a SAS program can be converted to more user friendly forms like .html or PDF. This is done by using the ODS statement available in SAS. ODS stands for output delivery system. It is mostly used to format the output data of a SAS program to nice reports which are good to look at and understand. That also ... | [
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"text": "The output from a SAS program can be converted to more user friendly forms like .html or PDF. This is done by using the ODS statement available in SAS. ODS stands for output delivery system. It is mostly used to format the output data of a SAS program t... |
Confidence Intervals vs Prediction Intervals | Towards Data Science | Both confidence intervals and prediction intervals express uncertainty in statistical estimates. However, each pertains to uncertainty coming from a different source. Sometimes, one can calculate both for the same quantity, which leads to confusion and potentially grave mistakes in interpreting statistical models. Let’... | [
{
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"text": "Both confidence intervals and prediction intervals express uncertainty in statistical estimates. However, each pertains to uncertainty coming from a different source. Sometimes, one can calculate both for the same quantity, which leads to confusion and po... |
Find all elements in array which have at-least two greater elements - GeeksforGeeks | 28 Apr, 2021
Given an array of n distinct elements, the task is to find all elements in array which have at-least two greater elements than themselves.
Examples :
Input : arr[] = {2, 8, 7, 1, 5};Output : 2 1 5 Explanation:The output three elements have two or more greater elements
Explanation:Input : arr[] = {7, -... | [
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"text": "Given an array of n distinct elements, the task is to find all elements in array which have at-least two greater elements than themselves."
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Find minimum sum of factors of number using C++. | Here we will see how to get a minimum sum of factors of a given number. Suppose a number is 12. We can factorize this in different ways −
12 = 12 * 1 (12 + 1 = 13)
12 = 2 * 6 (2 + 6 = 8)
12 = 3 * 4 (3 + 4 = 7)
12 = 2 * 2 * 3 (2 + 2 + 3 = 7)
The minimum sum is 7. We will take a number, and try to find the minimum factor... | [
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"text": "Here we will see how to get a minimum sum of factors of a given number. Suppose a number is 12. We can factorize this in different ways −"
},
{
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"text": "12 = 12 * 1 (12 + 1 = 13)"
},
{
"cod... |
SAP ABAP - Constants & Literals | Literals are unnamed data objects that you create within the source code of a program. They are fully defined by their value. You can’t change the value of a literal. Constants are named data objects created statically by using declarative statements. A constant is declared by assigning a value to it that is stored in ... | [
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"text": "Literals are unnamed data objects that you create within the source code of a program. They are fully defined by their value. You can’t change the value of a literal. Constants are named data objects created statically by using declarative statements. A... |
Convert Snake Case string to Camel Case in Java - GeeksforGeeks | 01 Aug, 2020
Given a string in Snake Case, the task is to write a Java program to convert the given string from snake case to camel case and print the modified string.
Examples:
Input: str = “geeks_for_geeks”Output: GeeksForGeeks
Input: str = “snake_case_to_camel_case”Output: SnakeCaseToCamelCase
The idea is to first c... | [
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"text": "Given a string in Snake Case, the task is to write a Java program to convert the given string from snake case to camel case and print the modified string."
},
... |
C# | Remove all elements from the ArrayList - GeeksforGeeks | 01 Feb, 2019
ArrayList represents an ordered collection of an object that can be indexed individually. It is basically an alternative to an array. It also allows dynamic memory allocation, adding, searching and sorting items in the list. ArrayList.Clear method is used to remove all the elements from the ArrayList.
Prop... | [
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"text": "ArrayList represents an ordered collection of an object that can be indexed individually. It is basically an alternative to an array. It also allows dynamic memory... |
ArrayList iterator() method in Java with Examples - GeeksforGeeks | 11 Dec, 2018
The iterator() method of ArrayList class in Java Collection Framework is used to get an iterator over the elements in this list in proper sequence. The returned iterator is fail-fast.
Syntax:
Iterator iterator()
Parameter: This method do not accept any parameter.
Return Value: This method returns an itera... | [
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"text": "The iterator() method of ArrayList class in Java Collection Framework is used to get an iterator over the elements in this list in proper sequence. The returned it... |
Styling Tables with CSS | For styling the tables with CSS, we can set borders, collapse, set width and height. We can also set the padding, alig text in it, etc. Let us see some examples −
To add borders to a table in CSS, use the borders property. Let us now see an example −
Live Demo
<!DOCTYPE html>
<html>
<head>
<style>
table, th, td {
b... | [
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"text": "To add borders to a... |
How to Vertically Align Text Next to an Image using CSS ? - GeeksforGeeks | 08 Feb, 2022
Introduction: We often add images to our website and there are times when that text needs to be vertically aligned next to an image. For example, in case of a profile image of the user, the name of the user should be visible right after his/her profile picture and it should be vertically aligned. In this a... | [
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"text": "Introduction: We often add images to our website and there are times when that text needs to be vertically aligned next to an image. For example, in case of a prof... |
Visualizing The Non-linearity of Neural Networks | by Cihan Soylu | Towards Data Science | In this article I will go over a basic example demonstrating the power of non-linear activation functions in neural networks. For this purpose, I have created an artificial dataset. Each data point has two features and a class label, 0 or 1. So we have a binary classification problem. If we call the features x1 and x2,... | [
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"text": "In this article I will go over a basic example demonstrating the power of non-linear activation functions in neural networks. For this purpose, I have created an artificial dataset. Each data point has two features and a class label, 0 or 1. So we have a ... |
Python program to convert a list to string | 27 Jun, 2022
There are various situations we might encounter when a list is given and we convert it to a string. For example, conversion to string from the list of strings or the list of integers or mixed data types.
Example:
Chapters
descriptions off, selected
captions settings, opens captions settings dialog
caption... | [
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"text": "There are various situations we might encounter when a list is given and we convert it to a string. For example, conversion to string from the list of strings or the list of ... |
Replace special characters in a string with underscore (_) in JavaScript | 23 May, 2019
JavaScript replace() method is used to replace all special characters from a string with _ (underscore) which is described below:
replace() method: This method searches a string for a defined value, or a regular expression, and returns a new string with the replaced defined value.Syntax:string.replace(sear... | [
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"text": "JavaScript replace() method is used to replace all special characters from a string with _ (underscore) which is described below:"
},
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... |
Sheppard’s Correction for Moments | ML | 23 Jan, 2020
Prerequisite: Raw and Central Moments
We assume in grouped data that the frequencies are concentrated in the middle part of the class interval. This assumption does not hold true in general and grouping error is introduced. Such an effect can be corrected in calculating the moments by using the information... | [
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"text": "Prerequisite: Raw and Central Moments"
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"text": "We assume in grouped data that the frequencies are concentrated in the... |
Maximum score possible after performing given operations on an Array | 02 Jun, 2021
Given an array A of size N, the task is to find the maximum score possible of this array. The score of an array is calculated by performing the following operations on the array N times:
If the operation is odd-numbered, the score is incremented by the sum of all elements of the current array. If the op... | [
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"text": "Given an array A of size N, the task is to find the maximum score possible of this array. The score of an array is calculated by performing the following operations on the ar... |
MathF.Abs() Method in C# with Examples | 04 Apr, 2019
MathF.Abs(Single) Method is used to return the absolute value of a specified float number.
Syntax: public static float Abs (float x);Here, it takes a standard floating point number.
Return Value: This method returns a floating point value less than Single.MaxValue.
Example 1:
// C# program to demonstrate t... | [
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Python | Lemmatization with NLTK | 18 May, 2022
Lemmatization is the process of grouping together the different inflected forms of a word so they can be analyzed as a single item. Lemmatization is similar to stemming but it brings context to the words. So it links words with similar meanings to one word. Text preprocessing includes both Stemming as well... | [
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"text": "Lemmatization is the process of grouping together the different inflected forms of a word so they can be analyzed as a single item. Lemmatization is similar to stemming but i... |
matplotlib.pyplot.plot_date() in Python | 22 Apr, 2020
Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.
The plot_date() function in pyplot module of matplotlib library is used to plot with data that contains dates.
S... | [
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"text": "Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MAT... |
Matplotlib.dates.datestr2num() in Python | 21 Apr, 2020
Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack.
The matplotlib.dates.datestr2num() function is used to convert a date string to a datenum by th... | [
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"text": "Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed t... |
GATE | GATE-CS-2009 | Question 60 | 28 Jun, 2021
The below DFA accepts the set of all strings over {0,1} that
(A) begin either with 0 or 1(B) end with 0(C) end with 00(D) contain the substring 00.Answer: (C)Explanation: If the strings beginning with 0 and 1 are 01 and 11 respectively, then the DFA doesn’t accept these( because it doesn’t reach to the fin... | [
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Check if a number can be represented as sum of two consecutive perfect cubes | 08 Apr, 2021
Given an integer N, the task is to check if this number can be represented as the sum of two consecutive perfect cubes or not.
Examples:
Input: N = 35Output: YesExplanation:Since, 35 = 23 + 33, therefore the required answer is Yes.
Input: N = 14Output: No
Naive Approach: The simplest approach to solve the ... | [
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"text": "Given an integer N, the task is to check if this number can be represented as the sum of two consecutive perfect cubes or not."
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Batch Script - Comparing Registry Keys | Comparing registry keys is done via the REG COMPARE command.
REG COMPARE [ROOT\]RegKey [ROOT\]RegKey [/v ValueName] [Output] [/s]
REG COMPARE [ROOT\]RegKey [ROOT\]RegKey [/ve] [Output] [/s]
Wherein Output − /od (only differences) /os (only matches) /oa (all) /on (no output).
@echo off
REG COMPARE HKEY_CURRENT_USER\Con... | [
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"text": "REG COMPARE [ROOT\\]RegKey [ROOT\\]RegKey [/v ValueName] [Output] [/s]\nREG COMPARE [ROOT\\]RegKey [ROOT\\]RegKey [/ve] [... |
Selecting optimal K for K-means clustering | by Tamjid Ahsan | Towards Data Science | K-means clustering is a way of vector quantization, originally from signal processing that aims to cluster observations based on mean. Lets start with clarifying the premise of clustering case that is explored here; to segment clients . Client segmentation is the method of partitioning an organization’s clients into cl... | [
{
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"text": "K-means clustering is a way of vector quantization, originally from signal processing that aims to cluster observations based on mean. Lets start with clarifying the premise of clustering case that is explored here; to segment clients . Client segmentatio... |
How to escape parentheses in MySQL REGEXP clause and display only specific values with parentheses? | Let us first create a table −
mysql> create table DemoTable1908
(
Code text
);
Query OK, 0 rows affected (0.00 sec)
Insert some records in the table using insert command −
mysql> insert into DemoTable1908 values('MySQL(1)Database');
Query OK, 1 row affected (0.00 sec)
mysql> insert into DemoTable1908 values('M... | [
{
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"text": "Let us first create a table −"
},
{
"code": null,
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"text": "mysql> create table DemoTable1908\n (\n Code text\n );\nQuery OK, 0 rows affected (0.00 sec)"
},
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"code": null,
"e": 1243,
"s": 1... |
Tryit Editor v3.7 | Tryit: HTML picture element | [] |
Kotlin Abstract class - GeeksforGeeks | 28 Mar, 2022
In Kotlin, abstract class is declared using the abstract keyword in front of class. An abstract class can not instantiated means we can not create object for the abstract class.
Abstract class declaration:
abstract class className {
.........
}
Points to remember:
We can’t create an object for abstra... | [
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"text": "In Kotlin, abstract class is declared using the abstract keyword in front of class. An abstract class can not instantiated means we can not create object for the a... |
Encrypt and Decrypt Data in NodeJS | NodeJS provides inbuilt library crypto to encrypt and decrypt data in NodeJS. We can use this library to encrypt data of any type. You can do the cryptographic operations on a string, buffer, and even a stream of data. The crypto also holds multiple crypto algorithms for encryption. Please check the official resources ... | [
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"text": "NodeJS provides inbuilt library crypto to encrypt and decrypt data in NodeJS. We can use this library to encrypt data of any type. You can do the cryptographic operations on a string, buffer, and even a stream of data. The crypto also holds multiple cry... |
How to use pip or easy_install Tkinter on Windows? | Tkinter is a Python library that is used to develop desktop-based GUI applications. In order to develop a Tkinter application, we have to make sure that Python is installed in our local system. We can install Tkinter in our local machine by using the pip install tkinter command in the Command Prompt or shell.
Once we e... | [
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"text": "Tkinter is a Python library that is used to develop desktop-based GUI applications. In order to develop a Tkinter application, we have to make sure that Python is installed in our local system. We can install Tkinter in our local machine by using the pi... |
Deploy a Python API on AWS. Flask + Lambda + API Gateway | by Jeremy Zhang | Towards Data Science | The very first idea of creating my own app and deploying it on the cloud so that everyone could use it is super exciting to me, and this is what inspired me to write this post. If this idea also intrigues you, please follow through and from this post, you will learn how to deploy a python app step by step.
You will nee... | [
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"text": "The very first idea of creating my own app and deploying it on the cloud so that everyone could use it is super exciting to me, and this is what inspired me to write this post. If this idea also intrigues you, please follow through and from this post, you... |
Kotlin - Delegation | Kotlin supports “delegation” design pattern by introducing a new keyword “by”. Using this keyword or delegation methodology, Kotlin allows the derived class to access all the implemented public methods of an interface through a specific object. The following example demonstrates how this happens in Kotlin.
interface Ba... | [
{
"code": null,
"e": 2733,
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"text": "Kotlin supports “delegation” design pattern by introducing a new keyword “by”. Using this keyword or delegation methodology, Kotlin allows the derived class to access all the implemented public methods of an interface through a specific object. The foll... |
Basic Time Series Manipulation with Pandas | by Laura Fedoruk | Towards Data Science | As someone who works with time series data on almost a daily basis, I have found the pandas Python package to be extremely useful for time series manipulation and analysis.
This basic introduction to time series data manipulation with pandas should allow you to get started in your time series analysis. Specific objecti... | [
{
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"text": "As someone who works with time series data on almost a daily basis, I have found the pandas Python package to be extremely useful for time series manipulation and analysis."
},
{
"code": null,
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"text": "This basic in... |
ReactJS UI Ant Design TreeSelect Component - GeeksforGeeks | 03 Jun, 2021
Ant Design Library has this component pre-built, and it is very easy to integrate as well. TreeSelect Component is used for the Tree selection control. It is similar to the Select component but here the values are provided in a tree-like structure. We can use the following approach in ReactJS to use the An... | [
{
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},
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"code": null,
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"text": "Ant Design Library has this component pre-built, and it is very easy to integrate as well. TreeSelect Component is used for the Tree selection control. It is simil... |
Concordion - Quick Guide | Concordion is a powerful tool to write and manage automated acceptance tests in Java based projects. It directly integrates with JUnit framework, making it ready to be used with all popular JAVA based IDEs like Netbeans, Eclipse, IntelliJ IDEA.
Active software specification is a way to specify the behaviour of a featur... | [
{
"code": null,
"e": 2269,
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"text": "Concordion is a powerful tool to write and manage automated acceptance tests in Java based projects. It directly integrates with JUnit framework, making it ready to be used with all popular JAVA based IDEs like Netbeans, Eclipse, IntelliJ IDEA."
},
... |
How to add a vector to each row of a matrix in R? | To add a vector to reach row of a matrix, we can use addition sign (+) and create the repetition of the vector up to the number of rows in the matrix. For example, if we have a matrix called M then a vector say v can be added to each row of M by using the command −
M+rep(v,each=nrow(M))
Consider the below matrix and th... | [
{
"code": null,
"e": 1328,
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"text": "To add a vector to reach row of a matrix, we can use addition sign (+) and create the repetition of the vector up to the number of rows in the matrix. For example, if we have a matrix called M then a vector say v can be added to each row of M by using t... |
Count of n digit numbers whose sum of digits equals to given sum in C++ | Given a positive number as the number of digits and a sum. The goal is to find all d digit numbers that have sum of digits equal to the input sum. The numbers having leading zeros will not be considered as d digit numbers.
The ranges are digits between 1 to 100 and sum between 1 and 500.
For Example
Input - digits = 3,... | [
{
"code": null,
"e": 1285,
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"text": "Given a positive number as the number of digits and a sum. The goal is to find all d digit numbers that have sum of digits equal to the input sum. The numbers having leading zeros will not be considered as d digit numbers."
},
{
"code": null,
... |
Construct an array from XOR of all elements of array except element at same index - GeeksforGeeks | 08 Mar, 2021
Given an array A[] having n positive elements. The task to create another array B[] such as B[i] is XOR of all elements of array A[] except A[i].Examples :
Input : A[] = {2, 1, 5, 9}
Output : B[] = {13, 14, 10, 6}
Input : A[] = {2, 1, 3, 6}
Output : B[] = {4, 7, 5, 0}
Naive Approach : We can simple ca... | [
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"text": "Given an array A[] having n positive elements. The task to create another array B[] such as B[i] is XOR of all elements of array A[] except A[i].Examples : "
},... |
Rows or Columns — where should I put my index on? | by Nikola Ilic | Towards Data Science | Choosing the optimal indexing strategy for your SQL Server workloads is one of the most challenging tasks. As you probably know, indexes can dramatically improve the performance of your queries, but at the same time, they can cause additional overhead when it comes to maintenance.
In complete honesty, I would never cal... | [
{
"code": null,
"e": 454,
"s": 172,
"text": "Choosing the optimal indexing strategy for your SQL Server workloads is one of the most challenging tasks. As you probably know, indexes can dramatically improve the performance of your queries, but at the same time, they can cause additional overhead whe... |
Clojure - contains? | Finds out whether the set contains a certain element or not.
Following is the syntax.
(contains? setofelements searchelement)
Parameters − ‘setofelements’ is the set of elements. ‘Searchelement’ is the element which needs to be searched for in the list.
Return Value − Returns true if the element exists in the set or f... | [
{
"code": null,
"e": 2435,
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"text": "Finds out whether the set contains a certain element or not."
},
{
"code": null,
"e": 2460,
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"text": "Following is the syntax."
},
{
"code": null,
"e": 2501,
"s": 2460,
"text": "(contains? setofelements ... |
All about Feature Scaling. Scale data for better performance of... | by Baijayanta Roy | Towards Data Science | Machine learning is like making a mixed fruit juice. If we want to get the best-mixed juice, we need to mix all fruit not by their size but based on their right proportion. We just need to remember apple and strawberry are not the same unless we make them similar in some context to compare their attribute. Similarly, i... | [
{
"code": null,
"e": 688,
"s": 171,
"text": "Machine learning is like making a mixed fruit juice. If we want to get the best-mixed juice, we need to mix all fruit not by their size but based on their right proportion. We just need to remember apple and strawberry are not the same unless we make them... |
192.168.0.1 Admin Login - GeeksforGeeks | 28 Mar, 2020
Before even beginning the discussion, one needs to be clear about the concept of IP Address. The IP address or the Internet Protocol address is defined a s a numerical tag that is assigned to each and every computer which is a part of a computer network. The reason of reserving few IP addresses not for the... | [
{
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},
{
"code": null,
"e": 24975,
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"text": "Before even beginning the discussion, one needs to be clear about the concept of IP Address. The IP address or the Internet Protocol address is defined a s a numer... |
Matplotlib Cheat Sheet. Basic plots, include code samples. | by XuanKhanh Nguyen | Towards Data Science | Matplotlib is a plotting library for the Python programming language. The most used module of Matplotib is Pyplot which provides an interface like Matlab but instead, it uses Python and it is open source.
In this note, we will focus on basic Matplotlib to help visualize our data. This is not a comprehensive list but co... | [
{
"code": null,
"e": 252,
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"text": "Matplotlib is a plotting library for the Python programming language. The most used module of Matplotib is Pyplot which provides an interface like Matlab but instead, it uses Python and it is open source."
},
{
"code": null,
"e": 435,
"s": ... |
C++ Program to Implement Rolling Hash | Rolling hash is a hash function in which the input is hashed in a window that moves through the input.
Rabin-Karp is popular application of rolling hash. The rolling hash function proposed by Rabin and Karp calculates an integer value. For a string the integer value is numeric value of a string.
The Rabin–Karp string s... | [
{
"code": null,
"e": 1165,
"s": 1062,
"text": "Rolling hash is a hash function in which the input is hashed in a window that moves through the input."
},
{
"code": null,
"e": 1359,
"s": 1165,
"text": "Rabin-Karp is popular application of rolling hash. The rolling hash function pr... |
Adobe RoboHelp - Quick Guide | Adobe RoboHelp is a popular Help Authoring Tool (HAT) from Adobe. It is used by industry professionals to deliver engaging help content, e-learning resources, organizational policies and knowledge base articles to a wide audience irrespective of device form factor. The latest version of RoboHelp (2017 release) helps yo... | [
{
"code": null,
"e": 4177,
"s": 3746,
"text": "Adobe RoboHelp is a popular Help Authoring Tool (HAT) from Adobe. It is used by industry professionals to deliver engaging help content, e-learning resources, organizational policies and knowledge base articles to a wide audience irrespective of device ... |
Wrap the flex items with CSS | To wrap the flex items, use the flex-wrap property. You can try to run the following code to implement the flex-wrap property
Live Demo
<!DOCTYPE html>
<html>
<head>
<style>
.mycontainer {
display: flex;
background-color: #D7BDE2;
flex-wrap: wrap;
}
... | [
{
"code": null,
"e": 1188,
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"text": "To wrap the flex items, use the flex-wrap property. You can try to run the following code to implement the flex-wrap property"
},
{
"code": null,
"e": 1198,
"s": 1188,
"text": "Live Demo"
},
{
"code": null,
"e": 1925,
... |
The 3 Ways To Compute Feature Importance in the Random Forest | by Piotr Płoński | Towards Data Science | The feature importance describes which features are relevant. It can help with a better understanding of the solved problem and sometimes lead to model improvement by utilizing feature selection. In this post, I will present 3 ways (with code) to compute feature importance for the Random Forest algorithm from scikit-le... | [
{
"code": null,
"e": 392,
"s": 47,
"text": "The feature importance describes which features are relevant. It can help with a better understanding of the solved problem and sometimes lead to model improvement by utilizing feature selection. In this post, I will present 3 ways (with code) to compute f... |
C++ program for hashing with chaining | Hashing is the method by which we can map any length data element to a fixed size key. hashing works as key-value pairs.
Hashing function is the function that does the mapping in a hash map. the data elements that are given as input to the Hash Function may get same hash key. In this case the elements may overlap. To a... | [
{
"code": null,
"e": 1183,
"s": 1062,
"text": "Hashing is the method by which we can map any length data element to a fixed size key. hashing works as key-value pairs."
},
{
"code": null,
"e": 1480,
"s": 1183,
"text": "Hashing function is the function that does the mapping in a h... |
Flutter - Dots Indicator - GeeksforGeeks | 15 Feb, 2021
Dots Indicator can be used to Show an increment or decrement to a value in a Flutter application through the UI. Moreover, it can also be used as an Increment or decrement component for a value through user interaction. To summarize its use case it can be improvised to use for multiple functionalities insi... | [
{
"code": null,
"e": 24010,
"s": 23982,
"text": "\n15 Feb, 2021"
},
{
"code": null,
"e": 24343,
"s": 24010,
"text": "Dots Indicator can be used to Show an increment or decrement to a value in a Flutter application through the UI. Moreover, it can also be used as an Increment or d... |
Vue.js | Introduction & Installation - GeeksforGeeks | 20 Oct, 2020
VueJS is one of the best frameworks for JavaScript like ReactJS. The VueJS is used to design the user interface layer, it is easy to pick up for any developers. It is compatible with other libraries and extensions as well. If you want to create a single page application then VueJS is the first choice in my... | [
{
"code": null,
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"text": "\n20 Oct, 2020"
},
{
"code": null,
"e": 25060,
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"text": "VueJS is one of the best frameworks for JavaScript like ReactJS. The VueJS is used to design the user interface layer, it is easy to pick up for any developers. It... |
How to leave space with EmptyBorder in Java Swing | Llet us first create a JPanel and set titled border:
JPanel panel = new JPanel();
panel.setBorder(BorderFactory.createTitledBorder("Demo Panel"));
Now to create Empty Border:
JPanel panel2 = new JPanel(new BorderLayout());
panel2.add(panel, BorderLayout.CENTER);
panel2.setBorder(BorderFactory.createEmptyBorder(100, 100... | [
{
"code": null,
"e": 1115,
"s": 1062,
"text": "Llet us first create a JPanel and set titled border:"
},
{
"code": null,
"e": 1209,
"s": 1115,
"text": "JPanel panel = new JPanel();\npanel.setBorder(BorderFactory.createTitledBorder(\"Demo Panel\"));"
},
{
"code": null,
... |
How to use vector class in Android listview? | This example demonstrate about How to use vector class in Android listview
Step 1 − Create a new project in Android Studio, go to File ⇒ New Project and fill all required details to create a new project.
Step 2 − Add the following code to res/layout/activity_main.xml.
<?xml version = "1.0" encoding = "utf-8"?>
<LinearL... | [
{
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"text": "This example demonstrate about How to use vector class in Android listview"
},
{
"code": null,
"e": 1266,
"s": 1137,
"text": "Step 1 − Create a new project in Android Studio, go to File ⇒ New Project and fill all required details to ... |
Predicting Employee Churn with Classification Machine Learning Model | Col Jung | Towards Data Science | It’s well-known in HR that recruiting new employees is substantially more expensive than retaining existing talent. Employees who depart take with them valuable experience and knowledge from your organisation. According to Forbes, the cost of an entry-level position turning over is estimated at 50% of that employee’s s... | [
{
"code": null,
"e": 612,
"s": 172,
"text": "It’s well-known in HR that recruiting new employees is substantially more expensive than retaining existing talent. Employees who depart take with them valuable experience and knowledge from your organisation. According to Forbes, the cost of an entry-lev... |
How to pass a variable into a jQuery attribute-contains selector? | Yes, it is possible to pass a variable into a jQuery attribute-contains selector. The [attribute*=value] selector is used to select each element with a specific attribute and a value containing a string.
You can try to run the following code to learn how to pass a variable into a jQuery attribute-contains selector:
Liv... | [
{
"code": null,
"e": 1266,
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"text": "Yes, it is possible to pass a variable into a jQuery attribute-contains selector. The [attribute*=value] selector is used to select each element with a specific attribute and a value containing a string."
},
{
"code": null,
"e": 1379,
"s... |
How to find the most frequent factor value in an R data frame column? | To find the most frequent factor value in an R data frame column, we can use names function with which.max function after creating the table for the particular column. This might be required while doing factorial analysis and we want to know which factor occurs the most.
Check out the below examples to understand how i... | [
{
"code": null,
"e": 1334,
"s": 1062,
"text": "To find the most frequent factor value in an R data frame column, we can use names function with which.max function after creating the table for the particular column. This might be required while doing factorial analysis and we want to know which facto... |
Difference between HashMap and ConcurrentHashMap - GeeksforGeeks | 06 Aug, 2019
HashMap is the Class which is under Traditional Collection and ConcurrentHashMap is a Class which is under Concurrent Collections, apart from this there are various differences between them which are:
HashMap is non-Synchronized in nature i.e. HashMap is not Thread-safe whereas ConcurrentHashMap is Thread-... | [
{
"code": null,
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"text": "\n06 Aug, 2019"
},
{
"code": null,
"e": 24707,
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"text": "HashMap is the Class which is under Traditional Collection and ConcurrentHashMap is a Class which is under Concurrent Collections, apart from this there are variou... |
Twitter Sentiment Analysis using Python | In this article, we will be learning about the twitter sentimental analysis. We will register for twitter oAuth API, install all the dependencies and finally write our sentimental analyzer script.
An API(Application programming interface) is a gateway that allows you to access some servers(Twitter) internal functionali... | [
{
"code": null,
"e": 1259,
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"text": "In this article, we will be learning about the twitter sentimental analysis. We will register for twitter oAuth API, install all the dependencies and finally write our sentimental analyzer script."
},
{
"code": null,
"e": 1386,
"s": 1259... |
Building Classification Models with Sklearn | by Sadrach Pierre, Ph.D. | Towards Data Science | Scikit-learn is an open-source machine learning library for python. It provides a variety of regression, classification, and clustering algorithms. In my previous post, A Brief Tour of Sklearn, I discussed several methods for regression using the machine learning package. In this post, we will go over some of the basic... | [
{
"code": null,
"e": 672,
"s": 171,
"text": "Scikit-learn is an open-source machine learning library for python. It provides a variety of regression, classification, and clustering algorithms. In my previous post, A Brief Tour of Sklearn, I discussed several methods for regression using the machine ... |
Building a Neural Network with a Single Hidden Layer using Numpy | by Ramesh Paudel, Ph.D. | Towards Data Science | Implement a 2-class classification neural network with a single hidden layer using Numpy
In the previous post, we discussed how to make a simple neural network using NumPy. In this post, we will talk about how to make a deep neural network with a hidden layer.
Import Libraries
Import Libraries
We will import some basic... | [
{
"code": null,
"e": 261,
"s": 172,
"text": "Implement a 2-class classification neural network with a single hidden layer using Numpy"
},
{
"code": null,
"e": 433,
"s": 261,
"text": "In the previous post, we discussed how to make a simple neural network using NumPy. In this post,... |
Image Segmentation (Part 1). Thresholding, Otsu’s and HSV... | by Ralph Caubalejo | Towards Data Science | One of the most important contributions of image processing to data science is the ability to use the processing technique to create different segmentation over the image. By segmentation, we mean segmenting different objects from their background. Normally if we have a raw image, and we want to create a dataset of the... | [
{
"code": null,
"e": 585,
"s": 172,
"text": "One of the most important contributions of image processing to data science is the ability to use the processing technique to create different segmentation over the image. By segmentation, we mean segmenting different objects from their background. Normal... |
Golang Program to reverse a given linked list. | Approach to solve this problem
Step 1 − Define a method that accepts the head of a linked list.
Step 2 − If head == nil, return; else, call ReverseLinkedList, recursively.
Step 3 − Print head.value at the end.
Live Demo
package main
import "fmt"
type Node struct {
value int
next *Node
}
func NewNode(value int, n... | [
{
"code": null,
"e": 1093,
"s": 1062,
"text": "Approach to solve this problem"
},
{
"code": null,
"e": 1158,
"s": 1093,
"text": "Step 1 − Define a method that accepts the head of a linked list."
},
{
"code": null,
"e": 1234,
"s": 1158,
"text": "Step 2 − If hea... |
dir() Method in Python | The dir() function returns list of the attributes and methods of any object like functions , modules, strings, lists, dictionaries etc. In this article we will see how to use the dir() in different ways in a program and for different requirements.
When we print the value of the dir() without importing any other module ... | [
{
"code": null,
"e": 1310,
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"text": "The dir() function returns list of the attributes and methods of any object like functions , modules, strings, lists, dictionaries etc. In this article we will see how to use the dir() in different ways in a program and for different requirements."
},... |
VBScript Mid Function | The Mid Function returns a specified number of characters from a given input string.
Mid(String,start[,Length])
String, a Required Parameter. Input String from which the specified number of characters to be returned.
String, a Required Parameter. Input String from which the specified number of characters to be returne... | [
{
"code": null,
"e": 2165,
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"text": "The Mid Function returns a specified number of characters from a given input string."
},
{
"code": null,
"e": 2193,
"s": 2165,
"text": "Mid(String,start[,Length])\n"
},
{
"code": null,
"e": 2298,
"s": 2193,
"text"... |
Classification Algorithms - Decision Tree | In general, Decision tree analysis is a predictive modelling tool that can be applied across many areas. Decision trees can be constructed by an algorithmic approach that can split the dataset in different ways based on different conditions. Decisions trees are the most powerful algorithms that falls under the category... | [
{
"code": null,
"e": 2651,
"s": 2304,
"text": "In general, Decision tree analysis is a predictive modelling tool that can be applied across many areas. Decision trees can be constructed by an algorithmic approach that can split the dataset in different ways based on different conditions. Decisions t... |
MySQL - SIGNAL Statement | While working with stored procedures in MySQL if an exception or occurs the execution of the procedure terminates abruptly, to avoid this you need to handle the exceptions in MYSQL.
MySQL provides a handler to handle the exceptions in the stored procedures. You can handle these exceptions by declaring a handler using t... | [
{
"code": null,
"e": 2515,
"s": 2333,
"text": "While working with stored procedures in MySQL if an exception or occurs the execution of the procedure terminates abruptly, to avoid this you need to handle the exceptions in MYSQL."
},
{
"code": null,
"e": 2693,
"s": 2515,
"text": "... |
Connecting to and Disconnecting from the MySQL Server | A MySQL user name needs to be provided when ‘mysql’ is invoked. Next a password has to be entered. If the server runs on a system which is not the same as that on which the user logs in, the host name also needs to be provided while trying to log in.
It is suggested to contact the administrator to find out the paramete... | [
{
"code": null,
"e": 1313,
"s": 1062,
"text": "A MySQL user name needs to be provided when ‘mysql’ is invoked. Next a password has to be entered. If the server runs on a system which is not the same as that on which the user logs in, the host name also needs to be provided while trying to log in."
... |
JavaScript String - constructor Property | A constructor returns a reference to the string function that created the instance's prototype.
Its syntax is as follows −
string.constructor
Returns the function that created this object's instance.
Try the following example.
<html>
<head>
<title>JavaScript String constructor Method</title>
</head>
... | [
{
"code": null,
"e": 2562,
"s": 2466,
"text": "A constructor returns a reference to the string function that created the instance's prototype."
},
{
"code": null,
"e": 2589,
"s": 2562,
"text": "Its syntax is as follows −"
},
{
"code": null,
"e": 2609,
"s": 2589,
... |
Accuracy Visualisation In Deep Learning — Part 1 | by Kaushik Choudhury | Towards Data Science | “One look is worth a thousand words.”
We all want to train the deep learning models in the most optimum way to increase even the last two decimal of the prediction accuracy. We have so many parameters to tweak in the deep learning model starting from the optimiser and its parameters, activation function, number of laye... | [
{
"code": null,
"e": 210,
"s": 172,
"text": "“One look is worth a thousand words.”"
},
{
"code": null,
"e": 610,
"s": 210,
"text": "We all want to train the deep learning models in the most optimum way to increase even the last two decimal of the prediction accuracy. We have so m... |
How do you automatically download a Pdf with Selenium Webdriver in Python? | We can automatically download a pdf with the Selenium webdriver in Python. A file is downloaded in the default path set in the Chrome browser. However, we can modify the path of the downloaded file programmatically in Selenium.
This is done with the help of the Options class. We have to create an object of this class a... | [
{
"code": null,
"e": 1290,
"s": 1062,
"text": "We can automatically download a pdf with the Selenium webdriver in Python. A file is downloaded in the default path set in the Chrome browser. However, we can modify the path of the downloaded file programmatically in Selenium."
},
{
"code": nul... |
Introduction to Random Forest Classifiers from sklearn | by Philip Wilkinson | Towards Data Science | Admittedly I am a huge fan of the NBA even though I am based in the UK so I don’t get to see much of the games. This means that I get my fix mostly from following the stats and the highlights after the games. Although I regret that I don’t get to watch as many games as I like, the analytical side of me enjoys being abl... | [
{
"code": null,
"e": 973,
"s": 172,
"text": "Admittedly I am a huge fan of the NBA even though I am based in the UK so I don’t get to see much of the games. This means that I get my fix mostly from following the stats and the highlights after the games. Although I regret that I don’t get to watch as... |
Introducing Hiveplotlib. Better Network Visualization in Python... | by Gary Koplik | Towards Data Science | Introducing hiveplotlib— a new, open-source Python package for generating Hive Plots. Originally developed by Martin Krzywinski, Hive Plots generate well-defined figures that allow for interpretable, visual explorations of network data.
The hiveplotlib repository is visible to all on Gitlab, with documentation includin... | [
{
"code": null,
"e": 409,
"s": 172,
"text": "Introducing hiveplotlib— a new, open-source Python package for generating Hive Plots. Originally developed by Martin Krzywinski, Hive Plots generate well-defined figures that allow for interpretable, visual explorations of network data."
},
{
"cod... |
How to update MongoDB Object? | To update MongoDB object, use UPDATE(). Let us create a collection with documents −
> db.demo77.insertOne({"Details" : { "Score" : 78 } });
{
"acknowledged" : true,
"insertedId" : ObjectId("5e2bd6f371bf0181ecc4228a")
}
Display all documents from a collection with the help of find() method −
> db.demo77.find();
Th... | [
{
"code": null,
"e": 1146,
"s": 1062,
"text": "To update MongoDB object, use UPDATE(). Let us create a collection with documents −"
},
{
"code": null,
"e": 1287,
"s": 1146,
"text": "> db.demo77.insertOne({\"Details\" : { \"Score\" : 78 } });\n{\n \"acknowledged\" : true,\n \"... |
Generalized Linear Models — Introduction | by Deepak Khandelwal | Towards Data Science | What is Linear Model in Machine Learning?
To illustrate the topic with an example, I have taken this dataset which has one predictor/feature/independent/explanatory variable namely Brain Weight and one response/target/dependent variable namely Body Weight .
Index Brain Weight Body Weight 1 3.385 44.500 2 ... | [
{
"code": null,
"e": 214,
"s": 172,
"text": "What is Linear Model in Machine Learning?"
},
{
"code": null,
"e": 430,
"s": 214,
"text": "To illustrate the topic with an example, I have taken this dataset which has one predictor/feature/independent/explanatory variable namely Brain... |
How to destroy an object in Python? | A class implements the special method __del__(), called a destructor, that is invoked when the instance is about to be destroyed. This method might be used to clean up any non memory resources used by an instance.
This __del__() destructor prints the class name of an instance that is about to be destroyed −
#!/usr/bin/... | [
{
"code": null,
"e": 1276,
"s": 1062,
"text": "A class implements the special method __del__(), called a destructor, that is invoked when the instance is about to be destroyed. This method might be used to clean up any non memory resources used by an instance."
},
{
"code": null,
"e": 13... |
How to Filter Rows Based on Column Values with query function in Pandas? - GeeksforGeeks | 11 Dec, 2020
In this article, let’s see how to filter rows based on column values. Query function can be used to filter rows based on column values.
Consider below Dataframe:
Python3
import pandas as pd data = [['A', 10], ['B', 15], ['C', 14], ['D', 12]] df = pd.DataFrame(data, columns = ['Name', 'Age'])df
Output: ... | [
{
"code": null,
"e": 23901,
"s": 23873,
"text": "\n11 Dec, 2020"
},
{
"code": null,
"e": 24038,
"s": 23901,
"text": "In this article, let’s see how to filter rows based on column values. Query function can be used to filter rows based on column values. "
},
{
"code": null... |
Central Limit Theorem: a real-life application | by Carolina Bento | Towards Data Science | The Central Limit Theorem (CLT) is one of the most popular theorems in statistics and it’s very useful in real world problems. In this article we’ll see why the Central Limit Theorem is so useful and how to apply it.
In a lot of situations where you use statistics, the ultimate goal is to identify the characteristics o... | [
{
"code": null,
"e": 389,
"s": 172,
"text": "The Central Limit Theorem (CLT) is one of the most popular theorems in statistics and it’s very useful in real world problems. In this article we’ll see why the Central Limit Theorem is so useful and how to apply it."
},
{
"code": null,
"e": 5... |
Manufacturing simulation using SimPy | by Juan Horgan | Towards Data Science | Hi there! In this tutorial we are going to build a guitar factory using SimPy! Even though this is a toy example, we are going to cover some pretty cool things that you can use for your own simulations. We are going to go throw the code here, but if you want to see the final version, it’s on my GitHub.
First of all, wh... | [
{
"code": null,
"e": 476,
"s": 172,
"text": "Hi there! In this tutorial we are going to build a guitar factory using SimPy! Even though this is a toy example, we are going to cover some pretty cool things that you can use for your own simulations. We are going to go throw the code here, but if you w... |
Finding difference in Timestamps – Python Pandas | To find the difference in timestamps, we can use index operator i.e. the square brackets to find the difference. For timestamps, we need to also use abs(). At first, import the required library −
import pandas as pd
Create a DataFrame with 3 columns. We have two date columns with timestamp −
dataFrame = pd.DataFrame(
... | [
{
"code": null,
"e": 1258,
"s": 1062,
"text": "To find the difference in timestamps, we can use index operator i.e. the square brackets to find the difference. For timestamps, we need to also use abs(). At first, import the required library −"
},
{
"code": null,
"e": 1278,
"s": 1258,... |
Adding Multiple Backgrounds with CSS3 | To add multiple backgrounds, use the background-image property in CSS. Following is the code for adding multiple backgrounds −
Live Demo
<!DOCTYPE html>
<html>
<head>
<style>
body {
font-family: "Segoe UI", Tahoma, Geneva, Verdana, sans-serif;
}
div {
background-image:
url("http://pngimg.com/uploads/autumn_le... | [
{
"code": null,
"e": 1189,
"s": 1062,
"text": "To add multiple backgrounds, use the background-image property in CSS. Following is the code for adding multiple backgrounds −"
},
{
"code": null,
"e": 1200,
"s": 1189,
"text": " Live Demo"
},
{
"code": null,
"e": 2127,
... |
Matplotlib Plot Lines with Colors through Colormap | To plot lines with colors through colormap, we can take the following steps−
Create x and y data points using numpy
Plot x and y data points using plot() method.
Count n finds, number of color lines has to be plotted.
Iterate in a range (n) and plot the lines.
Limit the x ticks range.
Use show() method to display the f... | [
{
"code": null,
"e": 1139,
"s": 1062,
"text": "To plot lines with colors through colormap, we can take the following steps−"
},
{
"code": null,
"e": 1178,
"s": 1139,
"text": "Create x and y data points using numpy"
},
{
"code": null,
"e": 1224,
"s": 1178,
"tex... |
Scraping Reddit data. How to scrape data from Reddit using... | by Gilbert Tanner | Towards Data Science | As its name suggests PRAW is a Python wrapper for the Reddit API, which enables you to scrape data from subreddits, create a bot and much more.
In this article, we will learn how to use PRAW to scrape posts from different subreddits as well as how to get comments from a specific post.
PRAW can be installed using pip or... | [
{
"code": null,
"e": 315,
"s": 171,
"text": "As its name suggests PRAW is a Python wrapper for the Reddit API, which enables you to scrape data from subreddits, create a bot and much more."
},
{
"code": null,
"e": 457,
"s": 315,
"text": "In this article, we will learn how to use ... |
C Program for Rat in a Maze | Backtracking-2 - GeeksforGeeks | 02 Aug, 2021
We have discussed Backtracking and Knight’s tour problem in Set 1. Let us discuss Rat in a Maze as another example problem that can be solved using Backtracking.
A Maze is given as N*N binary matrix of blocks where source block is the upper left most block i.e., maze[0][0] and destination block is lower ri... | [
{
"code": null,
"e": 24955,
"s": 24927,
"text": "\n02 Aug, 2021"
},
{
"code": null,
"e": 25117,
"s": 24955,
"text": "We have discussed Backtracking and Knight’s tour problem in Set 1. Let us discuss Rat in a Maze as another example problem that can be solved using Backtracking."
... |
Find the k most frequent words from data set in Python | If there is a need to find 10 most frequent words in a data set, python can help us find it using the collections module. The collections module has a counter class which gives the count of the words after we supply a list of words to it. We also use the most_common method to find out the number of such words as needed... | [
{
"code": null,
"e": 1405,
"s": 1062,
"text": "If there is a need to find 10 most frequent words in a data set, python can help us find it using the collections module. The collections module has a counter class which gives the count of the words after we supply a list of words to it. We also use th... |
Hamming Code implementation in Python - GeeksforGeeks | 25 Aug, 2021
Pre-requisite: Hamming Code
Hamming code is a set of error-correction codes that can be used to detect and correct the errors that can occur when the data is moved or stored from the sender to the receiver. It is a technique developed by R.W. Hamming for error correction.
Steps:
Enter the Data to be trans... | [
{
"code": null,
"e": 24045,
"s": 24017,
"text": "\n25 Aug, 2021"
},
{
"code": null,
"e": 24073,
"s": 24045,
"text": "Pre-requisite: Hamming Code"
},
{
"code": null,
"e": 24319,
"s": 24073,
"text": "Hamming code is a set of error-correction codes that can be us... |
How to build a smart search engine (Part II) | by Josh Taylor | Towards Data Science | In the first post within this series, we built a search engine in just a few lines of code which was powered by the BM25 algorithm used in many of the largest enterprise search engines today.
In this post, we want to go beyond this and create a truly smart search engine. This post will describe the process to do this a... | [
{
"code": null,
"e": 364,
"s": 172,
"text": "In the first post within this series, we built a search engine in just a few lines of code which was powered by the BM25 algorithm used in many of the largest enterprise search engines today."
},
{
"code": null,
"e": 554,
"s": 364,
"te... |
Queries for counts of array elements with values in given range | 09 Jun, 2022
Given an unsorted array of size n, find no of elements between two elements i and j (both inclusive).Examples:
Input : arr = [1 3 3 9 10 4]
i1 = 1, j1 = 4
i2 = 9, j2 = 12
Output : 4
2
The numbers are: 1 3 3 4 for first query
The numbers are: 9 10 for second query
Source: Amaz... | [
{
"code": null,
"e": 54,
"s": 26,
"text": "\n09 Jun, 2022"
},
{
"code": null,
"e": 167,
"s": 54,
"text": "Given an unsorted array of size n, find no of elements between two elements i and j (both inclusive).Examples: "
},
{
"code": null,
"e": 349,
"s": 167,
"... |
Python program to find second largest number in a list | 01 Jul, 2022
Given a list of numbers, the task is to write a Python program to find the second largest number in the given list.
Examples:
Input: list1 = [10, 20, 4]
Output: 10
Input: list2 = [70, 11, 20, 4, 100]
Output: 70
Method 1: Sorting is an easier but less optimal method. Given below is an O(n) algorithm to do ... | [
{
"code": null,
"e": 52,
"s": 24,
"text": "\n01 Jul, 2022"
},
{
"code": null,
"e": 168,
"s": 52,
"text": "Given a list of numbers, the task is to write a Python program to find the second largest number in the given list."
},
{
"code": null,
"e": 179,
"s": 168,
... |
How to Append Values to Vector Using Loop in R? | 28 Nov, 2021
In this article, we will discuss how to append values to a vector using a loop in R Programming Language.
Here we are going to append the values using for loop to the empty vector.
Syntax:
for(iterator in range) {
vector = c(vector, iterator)
}
where,
range is the range of values
iterator is to iterate ... | [
{
"code": null,
"e": 28,
"s": 0,
"text": "\n28 Nov, 2021"
},
{
"code": null,
"e": 135,
"s": 28,
"text": "In this article, we will discuss how to append values to a vector using a loop in R Programming Language. "
},
{
"code": null,
"e": 210,
"s": 135,
"text": ... |
Python | numpy.assert_allclose() method | 17 Sep, 2019
With the help of numpy.assert_allclose() method, we can get the assertion errors when two array objects are not equal upto the mark by using numpy.assert_allclose().
Syntax : numpy.assert_allclose(actual_array, desired_array)
Return : Return the Assertion error if two array objects are not equal.
Example #... | [
{
"code": null,
"e": 28,
"s": 0,
"text": "\n17 Sep, 2019"
},
{
"code": null,
"e": 194,
"s": 28,
"text": "With the help of numpy.assert_allclose() method, we can get the assertion errors when two array objects are not equal upto the mark by using numpy.assert_allclose()."
},
{... |
Prime number in PL/SQL | 02 Jun, 2021
Prerequisite – PL/SQL introductionA prime number is a whole number greater than 1, which is only divisible by 1 and itself. First few prime numbers are : 2 3 5 7 11 13 17 19 23 .....In PL/SQL code groups of commands are arranged within a block. A block group-related declarations or statements. In declare p... | [
{
"code": null,
"e": 54,
"s": 26,
"text": "\n02 Jun, 2021"
},
{
"code": null,
"e": 457,
"s": 54,
"text": "Prerequisite – PL/SQL introductionA prime number is a whole number greater than 1, which is only divisible by 1 and itself. First few prime numbers are : 2 3 5 7 11 13 17 19 ... |
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