While this is meant as a basic tutorial with fixed content, if you would like to make additions or revisions for the purpose of better teaching data science on Google Cloud, or if you have fixes for Cloud environment setups, we'd love to accept your patches and contributions to this project. There are a few small guidelines you need to follow.
Contributions to this project must be accompanied by a Contributor License Agreement. You (or your employer) retain the copyright to your contribution, this simply gives us permission to use and redistribute your contributions as part of the project. Head over to https://cla.developers.google.com/ to see your current agreements on file or to sign a new one.
You generally only need to submit a CLA once, so if you've already submitted one (even if it was for a different project), you probably don't need to do it again.
All submissions, including submissions by project members, require review. We use GitHub pull requests for this purpose. Consult GitHub Help for more information on using pull requests.
For notebook contributions or edits, after making proper changes, please shut down your notebook editor (e.g. Jupyter, Colab, etc.), and run the python script in the project's base directory as the FINAL STEP to ensure that outputs and other editor-specific metadata are removed. This ensures that diffs between notebooks are clearly marked during code review.
python cleanup_notebooks.py