How can I use Git for my data science projects?

How can I use Git for my data science projects?

You can use Git to track changes in your code, collaborate with others, and manage different versions of your data science projects.

What are some best practices for using Git in data science?

Some best practices include using meaningful commit messages, creating branches for new features, and regularly pushing your changes to a remote repository.

How do I handle large datasets with Git?

For large datasets, consider using Git LFS (Large File Storage) to manage large files without bloating your repository.

Can you explain how to create a branch in Git?

Sure! You can create a branch by using the command git branch branch_name and switch to it with git checkout branch_name.