Python Articles

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Error detection at its best: Implementing Checksum using Python

sudhir sharma
sudhir sharma
Updated on 27-Mar-2026 5K+ Views

In today's world of digital communication, ensuring the accuracy and integrity of data during transmission is vital. One powerful technique to detect errors in transmitted data is called checksum, and Python makes it straightforward to implement. In this article, we'll explore the concept of checksum and its significance in error detection, then dive into how you can use Python to perform these critical tasks for your own projects. What is Checksum? A checksum is a value derived from a data set using an algorithm, serving as an error detection method in digital communications. Its primary goal is ...

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How to Create and Customize Venn Diagrams in Python?

Manthan Ghasadiya
Manthan Ghasadiya
Updated on 27-Mar-2026 1K+ Views

Venn diagrams are visual representations used to show relationships between different sets of data. Python's matplotlib-venn library provides powerful tools to create and customize these diagrams with ease. The matplotlib-venn library extends matplotlib's functionality specifically for creating Venn diagrams. It supports both 2-set and 3-set diagrams with extensive customization options including colors, labels, and styling. Installation First, install the required library ? pip install matplotlib-venn Basic Two-Set Venn Diagram Here's how to create a simple intersection of two sets ? import matplotlib.pyplot as plt from matplotlib_venn import venn2, venn2_circles ...

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How to create an ogive graph in python?

Manthan Ghasadiya
Manthan Ghasadiya
Updated on 27-Mar-2026 688 Views

An ogive graph graphically represents the cumulative distribution function (CDF) of a dataset, also known as a cumulative frequency curve. It helps analyze data distribution and identify patterns and trends. Python provides libraries like Matplotlib, Pandas, and NumPy to create ogive graphs effectively. What is an Ogive Graph? An ogive is a line graph that shows the cumulative frequency of data points up to each value. The curve typically starts at zero and rises to the total frequency, creating an S-shaped curve that reveals distribution characteristics. Syntax # Calculate cumulative frequency freq, bins = np.histogram(data, ...

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How to create BMI calculator web app using Python and PyWebio?

Manthan Ghasadiya
Manthan Ghasadiya
Updated on 27-Mar-2026 697 Views

PyWebIO is a Python library that enables you to build web applications with simple user interfaces without requiring HTML and JavaScript knowledge. This tutorial demonstrates how to create a BMI (Body Mass Index) calculator web app using two different approaches. BMI measures body fat based on weight and height, commonly used to determine if a person is underweight, normal weight, overweight, or obese. Method 1: Object-Oriented Approach This method uses a class-based structure to organize the BMI calculation logic ? from pywebio.input import input, FLOAT from pywebio.output import put_text class BMICalculator: ...

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How to Create a Sequence of Linearly Increasing Values with NumPy Arrange?

Manthan Ghasadiya
Manthan Ghasadiya
Updated on 27-Mar-2026 651 Views

NumPy is a Python library widely used for numerical computations and scientific data analysis. One of the most commonly used functions is numpy.arange(), which creates a sequence of linearly increasing values with a given start, stop, and step size. This tutorial examines how to use numpy.arange() to produce sequences of linearly increasing values. Syntax numpy.arange([start, ]stop, [step, ], dtype=None) Parameters start − Starting value of the sequence (optional, default is 0) stop − End value of the sequence (not included) step − Spacing between values (optional, default is 1) dtype − Data type of ...

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Which Course is Better - Python or Digital Marketing?

Anurag Gummadi
Anurag Gummadi
Updated on 27-Mar-2026 2K+ Views

Python is a high-level, interpreted, and general-purpose programming language widely used for developing software applications. It was designed by Guido van Rossum and first released in 1991. Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-oriented approach help programmers write clear, logical code for both small and large projects. Python 3, released in 2008, has seen tremendous growth due to its powerful features and ease of use. With extensive libraries available, developers can create everything from desktop GUI applications to web frameworks like Django and Flask. Python is versatile ...

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Python 3 Program For Range LCM Queries

Rudradev Das
Rudradev Das
Updated on 27-Mar-2026 355 Views

Range LCM queries involve finding the Least Common Multiple (LCM) of all elements in a given range of an array. This is a common problem in competitive programming that requires efficient data structures like segment trees to handle multiple queries quickly. The LCM (Least Common Multiple) of numbers in a range [a, r] is calculated as: LCM(a, r) = LCM(arr[a], arr[a+1], ..., arr[r]) We use the mathematical relationship: LCM(a, b) = (a * b) / GCD(a, b) where GCD is the Greatest Common Divisor. Using Segment Tree Approach A segment tree efficiently handles ...

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Python Program to Count Inversions of Size Three in A Given Array

Rudradev Das
Rudradev Das
Updated on 27-Mar-2026 749 Views

An inversion of size three in an array occurs when three elements at indices i < j < k satisfy arr[i] > arr[j] > arr[k]. This is different from regular inversions which only consider pairs. Let's explore three approaches to count such inversions efficiently. Understanding Inversions of Size Three For an array to have an inversion of size three, we need three elements in decreasing order but with increasing indices ? Array: [8, 4, 2, 1] Inversions of size 3: (8, 4, 2), (8, 4, 1), (8, 2, 1), (4, 2, 1) Count: 4 Array: ...

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Why is Python so in Demand in the Machine Learning and AI Fields?

Tushar Sharma
Tushar Sharma
Updated on 27-Mar-2026 430 Views

For Machine Learning and Artificial Intelligence, Python has emerged as the dominant high-level programming language. Data scientists, researchers, and developers across various industries have embraced it as their language of choice. But what makes Python such a perfect fit for these cutting-edge fields? Let's explore Python's significance in machine learning and AI domains. The Seven Key Reasons for Python's Dominance in AI and Machine Learning Simple Syntax and Readability Python's clean, readable syntax makes it accessible to beginners and experts alike. Its English-like structure allows developers to express complex algorithms in fewer lines of code, making it ...

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What is the Pointer in Python? Does a Pointer Exist in Python?

Tushar Sharma
Tushar Sharma
Updated on 27-Mar-2026 2K+ Views

Low-level programming languages like C or C++ frequently use pointers to directly handle memory. They enable effective memory management and low-level data manipulation. Python, a high-level language, abstracts away the low-level complexities of memory management. Because of this, Python lacks explicit pointers in the same manner as C or C++. Instead, Python uses a concept called references, which enables indirect access to objects in memory through variables. Understanding Python References Everything is an object in Python, and objects are stored in memory. When you define a variable in Python, you are creating a reference to an object. ...

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