https://github.com/vedikasnehil/daily-leetcode-
Daily LeetCode Using Python is a project dedicated to solving coding challenges consistently using Python. It focuses on improving problem-solving skills, mastering Python techniques, and building a collection of clean, well-documented solutions. Perfect for interview preparation, learning algorithms, or daily coding practice!
https://github.com/vedikasnehil/daily-leetcode-
matplotlib numpy pandas python python3 seaborn
Last synced: 2 months ago
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Daily LeetCode Using Python is a project dedicated to solving coding challenges consistently using Python. It focuses on improving problem-solving skills, mastering Python techniques, and building a collection of clean, well-documented solutions. Perfect for interview preparation, learning algorithms, or daily coding practice!
- Host: GitHub
- URL: https://github.com/vedikasnehil/daily-leetcode-
- Owner: vedikasnehil
- Created: 2024-11-16T15:05:34.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-11T02:21:47.000Z (over 1 year ago)
- Last Synced: 2025-01-26T15:29:10.936Z (over 1 year ago)
- Topics: matplotlib, numpy, pandas, python, python3, seaborn
- Homepage:
- Size: 85 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Daily LeetCode Using Python
## 📚 Introduction
This repository is dedicated to solving coding problems daily using Python. It serves as a practice ground for improving programming skills, mastering Python, learning new algorithms, and building a strong foundation in problem-solving techniques. The solutions provided are written with clarity and include comments to explain the thought process and approach used to solve each problem.
## 🎯 Goals
- Develop a habit of consistent coding practice using **Python**.
- Strengthen problem-solving and analytical thinking skills.
- Master Python-specific features, libraries, and best practices.
- Explore various algorithms, data structures, and optimization techniques.
- Build a comprehensive collection of Python-based solutions for future reference or preparation.
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## 📝 How to Use
1. Browse the repository to find problems categorized by difficulty level (e.g., Easy, Medium, Hard).
2. Each problem file includes:
- Problem description.
- Python implementation of the solution.
- Comments explaining the logic and approach used.
3. Run the Python files to see the solutions in action.
4. Test the solutions on additional test cases for better understanding.
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## 🔄 Contributing
Contributions are welcome! You can add new solutions, optimize existing ones, fix bugs, or improve documentation. Fork the repository, create a new branch, commit your changes, and open a pull request.
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## 🧾 License
This project is licensed under the MIT License. Feel free to use, modify, and distribute the code with proper attribution.
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## 🎉 Acknowledgements
Special thanks to the community for sharing knowledge and resources, and to everyone contributing to this repository. Let’s keep learning and growing with Python!
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