- Brad Traversy Course – More algorithms that I've written and mastered from the courses I follow.
Over the past two months, I’ve mastered the essential algorithms and data structures needed for university admissions, job interviews, and real-world problem-solving. This repository is a collection of my solutions, optimizations, and explorations into various algorithmic challenges.
- Backtracking & Recursion – Generating permutations, subsets, partitions, and solving combinatorial problems.
- Graph Algorithms – BFS, DFS, Lee’s Algorithm, Flood Fill, and more.
- Dynamic Programming – Optimized solutions for complex recursive problems.
- Sorting & Searching – Classic and advanced techniques for efficient data handling.
- Mathematical Algorithms – Number theory, factorial optimizations, combinatorics.
This project is not just a collection of algorithms—it's a testament to my growth in logical thinking, speed, and efficiency. By working on these problems, I:
✅ Prepared for university entrance exams with confidence.
✅ Sharpened my problem-solving skills for coding interviews.
✅ Built a strong foundation for real-world development challenges.
Now that I’ve mastered algorithmic thinking, I’m shifting focus back to web development—harnessing the power of my problem-solving skills to build efficient, scalable, and optimized applications.
Feel free to explore, contribute, or use these implementations as a learning resource. Each algorithm is implemented in JavaScript, with clear logic and comments for easy understanding.
💬 Have suggestions or want to collaborate? Open an issue or reach out! 🚀