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.ipynbon Blinkit-style projects - A simple repo layout (
data/raw,notebooks,outputs) .gitignorefor 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
- 27.1Why Git for Notebook Data Projects
- 27.2Project Folder Layout
- 27.3.gitignore for Data Work
- 27.4Notebooks and Diffs: Clear Outputs
- 27.5Commits, Remotes and Team Hygiene
- 27.6Common Mistakes
- 27.7Practice, Tip and Close
The chapter recap is at the end of the last concept page.