Contributing

We’re thrilled that you’re interested in contributing to Data Science Utils! Your contributions help make this project better for everyone. Whether you’re a seasoned developer or just getting started, there’s a place for you here.

How to Contribute

  1. Find an area to contribute to: Check out our issues page for open tasks, or think of a feature you’d like to add.

  2. Fork the repository: Make your own copy of the project to work on.

  3. Create a branch: Make your changes in a new git branch.

  4. Make your changes: Add your improvements or fixes. We appreciate: - Bug reports and fixes - Feature requests and implementations - Documentation improvements - Performance optimizations - User experience enhancements

  5. Test your changes: Ensure your code works as expected and doesn’t introduce new issues.

  6. Submit a pull request: Open a PR with a clear title and description of your changes.

Coding Guidelines

We follow the Python Software Foundation Code of Conduct and the Matplotlib Coding Guidelines. Please adhere to these guidelines in your contributions.

Getting Help

If you’re new to open source or need any help, don’t hesitate to ask questions in the issues section or reach out to the maintainers. We’re here to help!

Why Contribute?

  • Improve your skills: Gain experience working on a real-world project.

  • Be part of a community: Connect with other developers and data scientists.

  • Make a difference: Your contributions will help others in their data science journey.

  • Get recognition: All contributors are acknowledged in our project.

Remember, no contribution is too small. Whether it’s fixing a typo in documentation or adding a major feature, all contributions are valued and appreciated.

Thank you for helping make Data Science Utils better for everyone!