GitHub CLI for Data Science Cheat Sheet

The GitHub CLI is a tool that allows for interaction with the GitHub platform with the command line interface. Mastering the most-used commands will allow you to become a productive of a data science, data engineering, or machine learning engineering development team.

  The terminal (or shell, or command line interface) is an important and often overlooked tool for data scientists. It allows for efficient interaction with the operating system without having to mess with a GUI, and permits automation, scheduling, flexibility, and interaction with applications and APIs often in a more direct manner.

GitHub is another increasingly-vital tool for data scientists. GitHub primarily provides a platform for version control and reproducibility. It also allows for developer collaboration and the sharing of code and data. For all of these reason, GitHub has become an integral platform specifically for open source software development.

The GitHub CLI, unsurprisingly, is the GitHub tool that allows for interaction with the GitHub platform with the command line interface. Mastering the most-used commands will allow you to become a productive of a development team, be that a web app development team, or more specifically for our purposes, a data science, data engineering, or machine learning engineering team.

For more on using the GitHub CLI, and for a handy quick reference, check out our latest cheat sheet.

GitHub CLI is an open-source command line tool that brings GitHub to your terminal. You can check the status, pull requests, issues, files, gists, and other GitHub concepts.

The GitHub CLI isn't limited to git workflow commands; it allows you to perform all sorts of GitHub tasks without having to visit the site with a web browser. Some of the common tasks which can be accomplished via the GitHub CLI, and those covered in the cheat sheet, include:

Check it out now, and check back soon for more.