Using Git for Version Control

This chapter aims to prepare you for interview questions related to Git, a version control system integral to collaborative projects and data management.

Throughout these sections, you’ll delve into the basics of creating and managing repositories and common Git operations, such as config, status, push, pull, ignore, commit, and diff. We will also highlight the common workflow patterns for a data scientist using Git and the crucial role of branches in this workflow.

The goal is to equip you with practical knowledge that you can leverage during your technical interviews, enabling you to demonstrate not only your data science acumen but also your adeptness at utilizing essential collaboration tools. Understanding these concepts is pivotal in today’s data science landscape, as efficient version control and collaboration are as critical to a project’s success as the scientific methods employed.

In this chapter, we will cover the...