JavaScript coding challenges

Dive into a wide range of tested coding problems, from beginner to advanced. Each challenge includes a clear problem statement, a tested solution, and often step-by-step explanations to solidify your understanding.

Algorithmic thinking and implementation

Learn how to implement classic and modern algorithms in JavaScript. Topics include:

• Sorting algorithms (e.g., quicksort, mergesort)
• Searching (e.g., binary search, BFS/DFS)
• Recursion and dynamic programming
• Greedy algorithms and backtracking

Design patterns in JavaScript

• Singleton
• Factory
• Observer
• Module and Prototype

These patterns demonstrate how to write clean, scalable, and maintainable JavaScript code in real-world applications.
Explore practical implementations of essential design patterns such as:

• Tested and structured codebase:each challenge is backed by test cases to ensure correctness and to encourage test-driven development (TDD) practices. This makes the project not only a learning resource but also a reference for professional-quality code.
• Interactive and Self-Paced Learning: Ideal for daily coding practice or interview preparation. Tackle a challenge, write your own solution, then compare it with optimized implementations. Learn not only how something works—but why one approach may be better than another

This project is perfect for:

• Students and self-learners improving their JavaScript knowledgeì
• Developers preparing for technical interviews
• Coders exploring computer science fundamentals and software design patterns
• Anyone who wants to write better, more efficient JavaScript code

Note: This project is a fork of an existing repository. While not all the original code was written by me, I have curated, expanded, and documented key parts to make the content more accessible and instructive.