This repository is my personal collection of LeetCode problem solutions. It is designed to track my learning journey and serve as a quick reference for revisiting problem-solving techniques. Each solution is written with a focus on clarity, clean code, and optimal approaches. 🔍💡📝
- Organized solutions: Grouped by patterns and difficulty.
- Step-by-step approaches: From brute force to optimized solutions.
- Clear explanations: Each solution includes core logic, time/space complexity, and important edge cases.
- Language: Solutions are primarily written in Python.
The solutions in this repository cover common problem-solving patterns like:
- Two Pointers & Sliding Window
- Binary Search & Divide and Conquer
- Dynamic Programming (DP)
- Graph Algorithms (DFS, BFS, Dijkstra)
- Tree Traversals & Recursion
- Greedy and Backtracking
- Heap, Stack, and Queue problems
- Practice problems: I use this repository as a log of problems I’ve solved.
- Review patterns: Revisiting solutions helps me quickly identify and recall patterns.
- Iterative improvement: I update solutions as I discover better or more efficient approaches.
- Run code locally: Each solution is standalone and can be executed directly for testing.
- Documenting time & space complexity for every solution.
- Writing readable, clean code with intuitive variable names.
- Showing multiple approaches for comparison.
- Including detailed reasoning for tricky or less obvious solutions.
- Expand coverage to include hard-level problems.
- Add flowcharts or step-by-step breakdowns for complex problems.
- Create pattern-based solution sets (e.g., sliding window problems grouped together).
- Maintain regular updates as I practice new problems.
Happy Coding! ✍️💻😊
"The best way to improve problem-solving skills is consistent, structured practice."