📌 DSA-Python-InDepth

Welcome to DSA-Python-InDepth! 🚀 This repository provides a comprehensive deep dive into Data Structures and Algorithms (DSA) using Python, covering fundamental concepts, advanced techniques, and optimized implementations.

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📖 About This Repository

This repo is designed to help programmers, students, and coding enthusiasts master DSA in Python with:

• Detailed Explanations of each data structure and algorithm
• Python Implementations with optimized code
• Time & Space Complexity Analysis
• Practice Problems and solutions
• Best Practices & Interview Tips

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📂 Folder Structure

📌 The repository is organized as follows:

📦 dsa-python-indepth
├── 📁 data_structures
│   ├── arrays.py
│   ├── linked_list.py
│   ├── stack.py
│   ├── queue.py
│   ├── hash_table.py
│   ├── binary_tree.py
│   ├── graph.py
│   └── heap.py
│
├── 📁 algorithms
│   ├── sorting
│   │   ├── bubble_sort.py
│   │   ├── merge_sort.py
│   │   ├── quick_sort.py
│   │   └── heap_sort.py
│   ├── searching
│   │   ├── linear_search.py
│   │   ├── binary_search.py
│   ├── recursion
│   │   ├── fibonacci.py
│   │   ├── factorial.py
│   ├── dynamic_programming
│   │   ├── knapsack.py
│   │   ├── longest_common_subsequence.py
│   ├── graph_algorithms
│   │   ├── dijkstra.py
│   │   ├── bfs.py
│   │   ├── dfs.py
│   ├── greedy
│   │   ├── job_scheduling.py
│   └── backtracking
│       ├── n_queens.py
│       ├── sudoku_solver.py
│
├── 📁 practice_problems
│   ├── leetcode
│   ├── hackerrank
│   ├── codeforces
│
├── README.md
└── CONTRIBUTING.md

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🚀 Topics Covered

✅ Data Structures

• Arrays & Strings
• Linked Lists (Singly & Doubly)
• Stacks & Queues
• Hash Tables
• Trees (Binary, BST, AVL, Trie, etc.)
• Graphs (Adjacency List, Adjacency Matrix)
• Heaps (Min Heap, Max Heap)

✅ Algorithms

• Sorting (Bubble, Merge, Quick, Heap Sort, etc.)
• Searching (Linear, Binary Search, etc.)
• Recursion & Backtracking
• Greedy Algorithms
• Dynamic Programming (DP)
• Graph Algorithms (DFS, BFS, Dijkstra, Floyd-Warshall, etc.)
• Divide & Conquer Techniques

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🛠 How to Use This Repository?

1. Clone the repository

   git clone https://github.com/your-username/dsa-python-indepth.git
   cd dsa-python-indepth

2. Explore different data structures and algorithms in the respective folders.
3. Run Python scripts to test implementations.
4. Solve practice problems and improve problem-solving skills.

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💡 Contributing

We welcome contributions! Feel free to:

• Fix bugs or optimize existing code.
• Add new algorithms or data structures.
• Solve and contribute practice problems.
• Improve documentation.

📜 Check the CONTRIBUTING.md file for guidelines.

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📚 Resources & References

• GeeksforGeeks
• LeetCode
• HackerRank
• MIT OpenCourseWare - Algorithms

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📩 Contact & Support

If you find this repository helpful, give it a ⭐ and follow for updates!

📧 Feel free to reach out via GitHub Issues for questions and suggestions.

Happy Coding! 🚀