Whether you are a novice or experienced software developer, all contributions and suggestions are welcome!
If you are looking to contribute to the nba_analytics codebase, the best place to start is the GitHub "issues" tab. This is also a great place for filing bug reports and making suggestions for ways in which we can improve the code and documentation.
If you notice a bug in the code or documentation, or have suggestions for how we can improve either, feel free to create an issue on the GitHub "issues" tab using GitHub's "issue" form. The form contains some questions that will help us best address your issue.
The code is hosted on GitHub, so you will need to use Git to clone the project and make changes to the codebase. Once you have obtained a copy of the code, you should create a development environment that is separate from your existing Python environment so that you can make and test changes without compromising your own work environment.
Once your changes are ready to be submitted, make sure to push your changes to GitHub before creating a pull request. We will review your changes, and you will most likely be asked to make additional changes before it is finally ready to merge. However, once it's ready, we will merge it, and you will have successfully contributed to the codebase!
The code of conduct for contributors can be found at code of conduct.md.
This contribution guide was adapted from the pandas contributing.md file.