Summary

In this chapter, we explored the core fundamentals of Git, an essential tool for data scientists looking to effectively manage and collaborate on projects. We kicked things off by guiding you through setting up a GitHub repository. This involved the creation of a new repository, both from scratch and by cloning an existing remote repository. We provided a step-by-step walk-through, offering a straightforward approach to establishing and preparing your local repository for development work.

Following this, we navigated through the common Git operations that form the backbone of interaction with this tool. We explored essential commands such as config, status, push, pull, ignore, commit, and diff, laying out their functions and demonstrating their usage with practical examples. Additionally, we delved into the concept of branches, a critical feature of Git that allows you to segregate your changes and efficiently manage different project versions, using tags to highlight specific...