Working with Containers in Data Science

How to set up, configure, and work with git and GitHub in the practice of data science.

What is a container?

Git is a distributed version control system that tracks changes in any set of computer files, usually used for coordinating work among programmers who are collaboratively developing source code during software development. Its goals include speed, data integrity, and support for distributed, non-linear workflows. ^Wikipedia

Contents

• Setup
  • Install and set up git
  • Authenticate git to GitHub
  • Basic configuration
  • Troubleshooting
• Creating and managing a repository
  • Create a repository locally
  • Create a repository in GitHub
  • Adding or removing collaborators
• Source control basics
  • Diff
  • Status
  • Add
  • Commit
  • Push/Pull
  • Fetch
  • Log
• Branches, Forks, and Merges
  • Branches
  • Forks
  • Fetch from Upstream
  • Merges and Pull Requests
• Issues
• Advanced Git/GitHub Features
  • Stash
  • Signing commits
  • Reset and Revert
  • Rebase
  • Cherry-pick
  • Renaming origin
  • Bonus
• GitHub Actions
  • About
  • Credentials & Secrets
  • Example 1 - Build software upon a push
  • Example 2 - Build and deploy a container