19 git commands every Data Scientist should know

Are you trying to learn git and don’t know what’s important? This story describes the most important concepts and commands of git.

Intro

Git is a powerful version control system that allows you to track changes to your code, collaborate with other people, and manage multiple versions of your data science projects. It’s an essential tool for any data scientist or programmer, and understanding how to use Git effectively can save you a lot of time and effort when working on projects.

In this post, we’ll cover some of the basic Git commands and concepts that you’ll need to know in order to get started with version control for your data science projects.

1. git clone

The git clone command is used to create a local copy of a repository that exists on a remote server. This is useful when you want to work on a project that is hosted on a platform like GitHub, GitLab, or Bitbucket.

To clone a repository, you’ll need to provide the URL of the repository you want to clone. For example, if you want to clone a repository hosted on GitHub, you can use a command like this:

git clone https://github.com/username/repo-name.git