What are the best practices for using Git with Jupyter notebooks?

What are the best practices for using Git with Jupyter notebooks?

When using Git with Jupyter notebooks, it's important to follow some best practices to manage your code effectively. First, consider using .gitignore to exclude large output files and checkpoints. Second, commit your notebooks frequently to capture changes.

How can I handle notebook outputs in Git?

You can use tools like nbstripout to automatically remove output cells before committing. This keeps your repository clean and reduces merge conflicts.

Is there a way to version control Jupyter notebooks more effectively?

Yes, you can convert notebooks to scripts using nbconvert or use tools like nbdime for better diffing and merging of notebooks.

What should I include in my commit messages?

Your commit messages should be clear and descriptive. Include what changes were made and why, such as 'Updated data visualization in notebook'.