November 13, 2024
November 1, 2024
In this article, we'll dive into the fundamentals of Binary Search Trees (BST), a powerful data structure that organizes data for efficient insertion, search, and traversal operations. Starting from the basic concepts, we’ll explore the recursive call stack, how to insert and search for values, and cover multiple traversal methods, including depth-first (in-order, pre-order, post-order) and breadth-first traversals. By the end, you’ll understand BST operations and have the code to create and manipulate a Binary Search Tree in JavaScript.
October 28, 2024
Linked lists are a fundamental data structure in computer science, offering flexibility in managing and organizing data. This article introduces linked lists in JavaScript, explaining their structure, basic operations like adding and removing nodes, and how to search within them. Perfect for beginners, this guide takes you step-by-step through building and understanding linked lists, making complex concepts accessible to everyone.
October 23, 2024
In this article, we’ll walk through the Max Stock Profit algorithm, which helps determine the maximum profit achievable from buying and selling a stock in a single day based on its changing prices. This common algorithm problem often appears in technical interviews and requires a mix of array handling and optimization techniques.
October 22, 2024
In this article, we’re covering Merge Sort, an efficient sorting algorithm that breaks down arrays into smaller parts, sorts them, and merges them back into a single sorted array. Merge Sort is often highlighted in technical interviews, so understanding its mechanics is essential.
October 21, 2024
In this article, we’ll dive into Bubble Sort, a straightforward sorting algorithm often encountered in coding interviews. We’ll discuss how it works, go through an example, and examine a JavaScript implementation of the algorithm.
October 17, 2024
Discover the Sieve of Eratosthenes — an efficient algorithm to find all prime numbers up to a given limit. We'll cover the steps involved, optimizing runtime, and breaking down the code for a clear understanding.