Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given. Read below for how to contribute.
If you a data science related idea for content feel free to use issues or discussions. We'd love to hear your ideas!
As an open-source project, Data Science Notes is built on community contributions, so thank for considering to add your thoughts to the collection!
Please see here for formatting and content guidelines.
Sharing the project on social media (we have a twitter @MakeUseofData) would be awesome!! We could always use more contributors helping out!
If you see an error somewhere in the project, let us know!
The best way to send feedback is to file an issue on GitHub.
If you are proposing a feature:
- Explain in detail how it would work.
- Keep the scope as narrow as possible, to make it easier to implement.
- Remember that this is a volunteer-driven project
Ready to contribute? Here's how to set up Data Science Notes for local development.
- Fork the repo on GitHub.
- Clone your fork locally.
- Install your local copy into a virtualenv, e.g., using
conda. - Create a branch for local development and make changes locally.
- Commit your changes and push your branch to GitHub.
- Submit a pull request through the GitHub website.
Please note that the Data Science Notes project is released with a Contributor Code of Conduct. By contributing to this project you agree to abide by its terms.