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https://github.com/4ssh1/dsa-python

This repo contains solutions to dsa problems
https://github.com/4ssh1/dsa-python

dsa python solution

Last synced: 9 months ago
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This repo contains solutions to dsa problems

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README

          

# DSA-Python

Welcome to **DSA-Python**!
This repository is a comprehensive collection of Data Structures and Algorithms (DSA) implemented in Python. It is designed to help learners, students, and professionals understand and practice core DSA concepts with clear, well-documented Python code.

**To see detailed explanation of problems** [Click Here](https://github.com/4ssh1/Learn-DSA/wiki/Problems)

## Features

- 📝 **Readable Code**: All solutions are written in Python with clear variable names and comments for easy understanding.
- 💡 **Practice Problems**: Includes example problems to help reinforce each concept.
- 🛠️ **Self-Contained Modules**: Each topic is organized in its own file or directory for easy navigation.

## 📁 Practice Order

```
├── arrays/
├── linked_lists/
├── stacks/
├── queues/
├── trees/
├── graphs/
├── sorting/
├── searching/
├── dynamic_programming/
```

*(Note: Actual folder structure may vary; check repo for latest organization.)*

## 🏁 Getting Started

1. **Clone the repository**
```bash
git clone https://github.com/4ssh1/DSA-Python.git
cd DSA-Python
```

2. **Explore the topics**
- Browse through the folders and files, or search for specific data structures/algorithms.

3. **Run the code**
- Each file is self-contained and can be executed directly with Python.

## ✨ Contribution

Contributions are welcome!
Feel free to open issues, create pull requests, or suggest new problems and solutions.

1. Fork the repo
2. Create your feature branch (`git checkout -b feature/your-feature`)
3. Commit your changes (`git commit -m 'Add new feature'`)
4. Push to the branch (`git push origin feature/your-feature`)
5. Open a Pull Request

## 📚 Resources

- [Python Documentation](https://docs.python.org/3/)
- [GeeksforGeeks DSA](https://www.geeksforgeeks.org/data-structures/)
- [LeetCode](https://leetcode.com/)
- [InterviewBit](https://www.interviewbit.com/data-structure-interview-questions/)

## Coming Soon
- 📚 **Wide Range of Topics**: Covers fundamental data structures (arrays, linked lists, stacks, queues, trees, graphs, etc.) and algorithms (searching, sorting, recursion, dynamic programming, etc.).

## 📄 License

This project is open source and available under the [MIT License](LICENSE).

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Happy Coding!
**4ssh1**