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27. How to Use Git with Jupyter Notebooks for Data Projects

Chala mitrano, notebook save zala — pan “final_final_v3.ipynb” WhatsApp var yeto. Aaj Git + Jupyter for data projects: .gitignore, clear outputs before commit, small commits, no secrets. Model nahi. GitHub UI deep dive nahi — analyst habits.

What you will learn in this chapter

  • Why Git beats final_v3.ipynb on Blinkit-style projects
  • A simple repo layout (data/raw, notebooks, outputs)
  • .gitignore for data, checkpoints, env files
  • Clear notebook outputs before commit (diff hygiene)
  • Commit messages analysts can read later
  • Common mistakes: secrets, huge CSVs, unreviewed outputs
  • A short practice checklist you can run today

Fictional data

Blinkit / Amazon Now figures in this chapter are fictional sample data for learning only. They do not show real company numbers. People names are for practice; e-mails use example.com. Never commit real passwords, API tokens, or production extracts.

Concepts in this chapter

  1. 27.1Why Git for Notebook Data Projects
  2. 27.2Project Folder Layout
  3. 27.3.gitignore for Data Work
  4. 27.4Notebooks and Diffs: Clear Outputs
  5. 27.5Commits, Remotes and Team Hygiene
  6. 27.6Common Mistakes
  7. 27.7Practice, Tip and Close

The chapter recap is at the end of the last concept page.