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Data Structures and Algorithms (DSA) Learning Repository

Welcome to my DSA Learning Repository! 🚀

This repository contains all the code and solutions I have implemented while solving various DSA problems and concepts. It serves as a comprehensive collection of my learning journey through Data Structures and Algorithms. I have also started following the Striver's A-Z DSA Playlist, which is a systematic guide for mastering DSA from basics to advanced levels.

Repository Highlights

1. Structured Learning

  • Organized by topics such as Arrays, Linked Lists, Trees, Graphs, Dynamic Programming, etc.
  • Solutions are categorized based on difficulty levels: Easy, Medium, Hard.

2. Striver's A-Z Playlist Integration

  • Following the Striver's DSA roadmap, this repo reflects my progress through the playlist.
  • Includes notes and key takeaways from each topic.

3. Code Implementation

  • Each problem includes:
    • Problem statement.
    • Explanation of the approach.
    • Optimized solutions.
    • Time and space complexity analysis.

4. Hands-on Practice

  • Solved problems from popular platforms like LeetCode, Codeforces, and InterviewBit.

Repository Structure

DSA-Learning-Repo/
├── Java Basic/
├── Pattern/
├── Recursion/
├── Hashing/
├── Arrays/
├── LinkedLists/
├── Trees/
├── Graphs/
├── DynamicProgramming/
├── SortingAlgorithms/
├── SearchingAlgorithms/
├── Notes/
└── README.md

Folder Descriptions

  • Topic-Based Folders: Contain solutions and explanations categorized by DSA topics.
  • Notes: Key takeaways, tricks, and useful tips for quick revision.
  • README.md: This file, summarizing the purpose and structure of the repository.

Resources

How to Use This Repository

  1. Clone the repository: 
    git clone https://github.com/your-username/DSA-Learning-Repo.git
  2. Navigate through topic folders to find specific implementations.
  3. Use the notes for quick revisions.
  4. Feel free to contribute or suggest improvements!

Future Goals

  • Solve 500+ problems by the end of this journey.
  • Master all major algorithms and data structures.
  • Build a strong foundation for competitive programming and technical interviews.

Contributing

If you'd like to contribute by suggesting better approaches, optimizing existing solutions, or adding new problems, feel free to create a pull request or raise an issue.

License

This repository is licensed under the MIT License. You are free to use, modify, and share the content for educational purposes.

Happy Learning! 🎉