Welcome to the Data Science Learning Materials repository! This repository contains educational resources and materials for learning Python and popular data science libraries such as NumPy, Pandas, and Matplotlib. The goal is to provide a comprehensive set of resources for learning and mastering data science.
Each section is organized into folders corresponding to the topic covered. Inside each folder, you will find:
- Tutorials and guides
- Code examples
- Practice exercises
- Additional resources and references
Feel free to explore each folder and follow the materials at your own pace.
Contributions are welcome! If you have any improvements, suggestions, or additional materials that you think would benefit others, please feel free to create a pull request or open an issue.
To contribute:
- Fork the repository
- Create a new branch (
git checkout -b feature/new-material) - Commit your changes (
git commit -am 'Add new material') - Push to the branch (
git push origin feature/new-material) - Create a new Pull Request