GCD and LCM are foundational concepts in number theory and are widely used in areas such as simplifying fractions, cryptography, and solving Diophantine equations. GCD (Greatest Common Divisor) GCD of 12 and 18 So, the GCD is 6 Euclidean Algorithm for GCD This is an efficient method to find GCD: Code Euclidean Algorithm, Why it … Read full article: GCD and LCM: Essential Tools for Competitive Programming
A Binary Search Tree is a type of binary tree where each node follows a specific ordering property: the left child of a node contains a value less than the node’s value, and the right child contains a value greater than the node’s value. This property makes searching, insertion, and deletion efficient. Introduction A Binary … Read full article: Binary Search Trees (BSTs): A Complete Guide
Automated testing is a crucial aspect of modern software development. It ensures code reliability, maintainability, and helps prevent regression bugs. In the Python ecosystem, Pytest stands out as one of the most powerful, flexible, and widely-used testing frameworks. What is Pytest? Pytest is a testing framework for Python that makes it easy to write simple … Read full article: Python Automated Testing Using Pytest: A Comprehensive Guide
Python is a high-level, dynamically-typed language. It abstracts away memory management for the developer — but understanding how it works under the hood is crucial for writing efficient and memory-safe programs. For the purposes of this article, I’ll focus on the memory management done by the default implementation of Python, CPython. Analogy You can begin … Read full article: Memory Management in Python – A Deep Dive
Floyd’s Cycle Detection Algorithm is a pointer algorithm that uses two pointers moving at different speeds to detect a cycle in a sequence of values, typically in a linked list. It is one of the most elegant solutions to the cycle detection problem and operates with O(n) time and O(1) space complexity. This technique was … Read full article: Floyd’s Cycle Detection Algorithm (Tortoise and Hare)
SQL offers powerful tools like CTEs, Views, and Temporary Tables to simplify complex queries and manage data efficiently. Though they may seem similar, each serves a unique purpose. Understanding their differences helps you write clearer, faster, and more maintainable SQL. This article explains what they are, how they differ, and when to use each. What … Read full article: Mastering SQL: Understanding CTEs, Views, and Temporary Tables for Cleaner, More Efficient Queries
Matrices are fundamental data structures in computer science and mathematics. In competitive programming, matrices are widely used in problems involving 2D grids, dynamic programming, graph algorithms, geometry, and simulations. Basics of Matrices in Python Python doesn’t have a native matrix type. A matrix is typically represented as a list of lists: Concepts Matric Representation Initialisation … Read full article: Complete Guide to Matrices
Competitive programming or sport programming is a mind sport involving participants trying to program according to provided specifications. Recursion Recursion is one of the most powerful and elegant tools in programming or even in competitive — but it can seem confusing at first. In this guide, you’ll learn what recursion is, how to identify recursive … Read full article: The Ultimate Beginner’s Guide for Competitive programming Part 1
Python decorators are one of the language’s most powerful and expressive features. They allow you to extend and modify the behaviour of functions or classes without changing their actual code. This article will cover everything you need to know to understand, write, and use decorators effectively. What is a Decorator? In Python, decorators are a … Read full article: Understanding Python Decorators: A Powerful Tool for Clean and Reusable Code
Floyd’s Cycle Detection Algorithm (Tortoise and Hare method)