Programming Articles

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Python Program To Search An Element In A List

Utkarsha Nathani
Utkarsha Nathani
Updated on 27-Mar-2026 10K+ Views

Python provides several methods to search for elements in a list. This is a fundamental operation when you need to check if a specific value exists or find its position within a collection of data. What is a List in Python? Lists are mutable data structures that store multiple items in a single variable. You can create a list using square brackets with elements separated by commas ? names = ["alice", "bob", "charlie"] numbers = [1, 2, 3, 4, 5] mixed = ["apple", 42, True, 3.14] print(names) ['alice', 'bob', 'charlie'] Using ...

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Python Program To Check Two Set Are Equal

Utkarsha Nathani
Utkarsha Nathani
Updated on 27-Mar-2026 11K+ Views

Python sets are unordered collections of unique elements that are useful for mathematical operations. Checking if two sets are equal is a common task that can be accomplished using several methods. What Is A Set? A set is an unordered collection data type that is iterable, mutable and has no duplicate elements. Sets are represented by curly brackets {} and are highly optimized for checking whether a specific element is present. Sets are created by placing elements inside curly brackets, separated by commas, or by using the built-in set() function. Example # Simple set ...

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Python Program to Remove a Subset from a List

Utkarsha Nathani
Utkarsha Nathani
Updated on 27-Mar-2026 5K+ Views

In Python programming, removing specific elements or subsets from a list is a common operation. Python provides several built-in methods like remove(), pop(), del, and clear() to handle different removal scenarios efficiently. What is a List in Python A list is a mutable, ordered data structure that can store multiple elements of different data types. Lists allow duplicate elements and support indexing, slicing, and various operations for adding or removing elements. # Creating a simple list numbers = [10, 20, 30, 40, 50] print("Original list:", numbers) # Lists can contain mixed data types mixed_list = ...

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Python Program to Split a List into Two Halves

Utkarsha Nathani
Utkarsha Nathani
Updated on 27-Mar-2026 7K+ Views

In Python, lists are one of the most versatile data structures for storing collections of items. Sometimes you need to split a list into two equal or nearly equal parts for processing, analysis, or other operations. What is a List? Lists in Python are created using square brackets and can contain multiple data types including integers, strings, and objects. Since lists are mutable, you can modify them after creation, making them highly flexible for data manipulation. In this article, we will explore methods for dividing a list into two halves using Python programming. These techniques will help ...

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Python Program to Get Minimum and Maximum from a List

Utkarsha Nathani
Utkarsha Nathani
Updated on 27-Mar-2026 11K+ Views

Python lists are mutable, ordered collections that can store multiple elements. Finding the minimum and maximum values from a list is a common operation with several approaches available. Finding Minimum Value from List Using min() Function The min() function returns the smallest element from a list or any iterable. It works with both numbers and strings ? numbers = [15, 58, 30, 97] minimum = min(numbers) print("The smallest element is:", minimum) The smallest element is: 15 For strings, min() returns the lexicographically smallest value ? names = ["alina", ...

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How to Create a Pivot Table in Python using Pandas?

Mukul Latiyan
Mukul Latiyan
Updated on 27-Mar-2026 4K+ Views

A pivot table is a powerful data analysis tool that allows you to summarize and aggregate data based on different dimensions. In Python, you can create pivot tables using the pandas library, which provides flexible and efficient tools for data manipulation and analysis. To create a pivot table in pandas, you first need to have a dataset in a pandas DataFrame. You can load data into a DataFrame from various sources such as CSV files, Excel spreadsheets, SQL databases, and more. Syntax Once you have your data in a DataFrame, you can use the pandas pivot_table() function ...

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How to create a meeting with the zoom API in Python?

Mukul Latiyan
Mukul Latiyan
Updated on 27-Mar-2026 3K+ Views

Zoom is a video conferencing platform that provides an API for developers to programmatically interact with its features. Python offers a simple way to create Zoom meetings through API calls using the requests library and JWT authentication. This guide demonstrates how to create a Zoom meeting using Python and the Zoom API. You can automate meeting creation and integrate it with other applications or workflows. Prerequisites and Setup To use the Zoom API, you must first create a Zoom app by following these steps: Go to https://marketplace.zoom.us/ and sign in to your Zoom account. Click ...

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How to create a matrix of random integers in Python?

Mukul Latiyan
Mukul Latiyan
Updated on 27-Mar-2026 10K+ Views

In Python, you can create a matrix of random integers using the NumPy library. NumPy is a powerful library for scientific computing that provides support for multidimensional arrays and random number generation. To create a matrix of random integers, you use the numpy.random.randint() function. This function generates random integers within a specified range and returns a NumPy array of the specified shape. Syntax numpy.random.randint(low, high=None, size=None, dtype='l') Parameters low − The lowest (inclusive) integer to be generated in the matrix. high − The highest (exclusive) integer ...

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How to create a Cumulative Histogram in Plotly?

Mukul Latiyan
Mukul Latiyan
Updated on 27-Mar-2026 2K+ Views

A cumulative histogram is a type of histogram that shows the cumulative distribution function (CDF) of a dataset. The CDF represents the probability that a random observation from the dataset will be less than or equal to a certain value. Cumulative histograms are useful when you want to compare the distribution of two or more datasets or when you want to visualize the proportion of data points that fall below a certain threshold. Plotly is a Python library for creating interactive and publication-quality visualizations. It is built on top of the D3.js visualization library and provides a wide range ...

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How to Create a Correlation Matrix using Pandas?

Mukul Latiyan
Mukul Latiyan
Updated on 27-Mar-2026 2K+ Views

Correlation analysis is a crucial technique in data analysis, helping to identify relationships between variables in a dataset. A correlation matrix is a table showing the correlation coefficients between variables in a dataset. It is a powerful tool that provides valuable insights into the underlying patterns in the data and is widely used in many fields, including finance, economics, social sciences, and engineering. In this tutorial, we will explore how to create a correlation matrix using Pandas, a popular data manipulation library in Python. What is a Correlation Matrix? A correlation matrix displays pairwise correlations between variables. ...

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