🚀 The Algorithms – Python

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📖 Overview

A collection of Python implementations of popular algorithms and data structures – built for learning, practice, and educational purposes.

⚡ These implementations prioritize clarity over optimization (may be less efficient than standard library equivalents).

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🤝 Contribution

Want to contribute? Please read our Contribution Guidelines before submitting pull requests.

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📚 Algorithms Collection

🔹 For the complete list, check the Directory.
Here’s a quick selection of popular ones:

🔢 Sorting

• Bubble Sort
• Merge Sort
• Quick Sort

🔍 Searching

• Binary Search
• Linear Search

🏗️ Data Structures

• Linked List
• Binary Tree
• Graphs
• Stacks
• Queues

➗ Mathematics

• Fibonacci
• Factorial
• Prime Numbers

🤖 Machine Learning

• K-Nearest Neighbors
• Linear Regression
• Decision Tree

🧩 Dynamic Programming

• Fibonacci
• Knapsack
• Longest Common Subsequence

🎯 Backtracking

• N Queens
• Sudoku Solver

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⚡ Getting Started

# Clone the repository
git clone https://github.com/TheAlgorithms/Python.git

# Navigate into the folder
cd Python

# Install dependencies
pip install -r requirements.txt

# Run an algorithm
python sorts/bubble_sort.py


## Getting Started

1. Clone the repository
2. Install the dependencies using `pip install -r requirements.txt`
3. Run the algorithms directly or import them in your code

## 👨‍💻 Author & Credits

Developed by:  
**B. Chaitanya**  
Data Science & Machine Learning Enthusiast

- GitHub: [bchaitanya92](https://github.com/bchaitanya92)
- LinkedIn: [BOURISETTI CHAITANYA](https://www.linkedin.com/in/b-chaitanya/)

Feel free to explore, modify, and experiment with the code for your learning and projects.  
Contributions and feedback are always welcome. Happy Coding! 🎉

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## License

This project is licensed under the terms of the MIT license. See [LICENSE](LICENSE.md) for more details.