🚀 Data Structures and Algorithms (DSA)

Welcome to the DSA Practice Hub – a comprehensive repository to learn and implement Data Structures and Algorithms using C++ and Python. Whether you're preparing for coding interviews or just getting started, this repo provides structured learning, curated problems, and clean implementations.

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📁 Repository Structure

📁 DSA
│── 📁 CPP                # DSA solutions in C++
│── 📁 Python             # DSA solutions in Python
│── 📁 Notes              # Conceptual explanations and strategies
│── 📁 Basic_Maths        # Number theory, GCD/LCM, etc.
│── 📁 Arrays             # Array problems
│── 📁 Sorting            # Sorting algorithms
│── 📁 Binary_Search      # Binary search problems and patterns
│── 📁 Hashing            # Hash tables, maps, frequency
│── 📁 Recursion          # Recursion and backtracking
│── 📁 Strings            # String manipulation problems
│── 📄 README.md

Each topic folder contains:

• ✅ Concepts & Notes
• ✅ Code Implementations (C++)
• ✅ Practice Problems from LeetCode, GFG, Codeforces, etc.

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📚 Learning Roadmap

Follow this roadmap if you're learning DSA step by step:

1. ✅ Arrays & Strings
2. ✅ Sorting & Searching Algorithms
3. ✅ Recursion & Backtracking
4. ✅ Hashing & Hashmaps
5. ✅ Two Pointers / Sliding Window
6. ✅ Bit Manipulation
7. ✅ Stack, Queue, Linked List
8. ✅ Trees & Binary Trees
9. ✅ Graph Algorithms (BFS, DFS, Dijkstra’s, Union-Find)
10. ✅ Dynamic Programming
11. ✅ Advanced Topics (Trie, Segment Tree, Fenwick Tree)

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🔧 Getting Started

1. Clone the repo

   git clone https://github.com/krishnakamalbaishnab/Data-Structures-and-Algorithms.git
   cd Data-Structures-and-Algorithms

2. Browse topics Navigate to any folder (Arrays, Graphs, etc.) and run the code using your preferred compiler or interpreter.

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🌟 Resources & References

• Abdul Bari - YouTube
• Striver's SDE Sheet
• GeeksforGeeks DSA Guide
• LeetCode
• Codeforces
• AlgoMaster Patterns

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🤝 Contributing

We welcome contributions! If you’d like to add new problems, improve existing code, or write notes:

📌 Contribution Guidelines

• Fork the repo
• Create a branch: feature/your-feature-name
• Add your code under the correct folder (e.g., Arrays/)
• Use meaningful filenames: two_sum.py / reverse_array.cpp
• Comment your code with explanations
• Submit a Pull Request 🚀

See CONTRIBUTING.md for full details.

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📄 License

This project is licensed under the MIT License.

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✨ Let's Grow Together

This repository aims to be a collaborative and evolving DSA resource for all learners. Add your ideas, raise issues, and help others grow.
Let’s master DSA together 💪

Happy Coding! 🚀
— Krishna Kamal Baishnab