Preparing for coding interviews requires revising a large number of data structures, algorithms, and problem-solving patterns — often under tight timelines. This DSA Cheat Sheet is designed to give you…
The variable-size sliding window algorithm is one of the most efficient techniques for solving problems involving subarrays or substrings that must satisfy certain conditions. Unlike a fixed-size window, the variable-size…
When it comes to sorting algorithms, heap sort is one of the most efficient and reliable options. In this article, we'll take a deep dive into heap sort, explaining every…
The median of two sorted arrays problem is a foundational question that showcases your grasp of searching algorithms, edge-case handling, and performance tuning. It often appears in technical interviews because…
In today’s highly competitive tech industry, preparing for and excelling in job interviews can be daunting. Fortunately, Artificial Intelligence (AI) has emerged as a powerful ally for candidates aiming to…
Graph traversal algorithms are essential in many domains of computer science, ranging from network routing to game development. Among the most fundamental graph traversal techniques, Depth First Search (DFS) and…
When working with numbers in programming, one of the interesting problems that often comes up is checking if a number is a palindrome. A palindrome number is a number that…
Dynamic Programming (DP) is a technique used to solve complex problems by breaking them down into simpler subproblems. Solving each subproblem once and storing the results can prevent redundant work…
Binary Search is one of the most efficient searching algorithms widely used in computer science. Whether you are building applications, preparing for coding interviews, or solving algorithmic problems on platforms…
In the world of computer science, algorithms are the backbone of any program. Among various types of algorithms, the recursive algorithm or the recursion algorithm stand out due to their…