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Git for Python Developers: A Beginner’s Guide to Version Control

3D isometric diagram of a Git commit history tree with branches, representing version control for Python developers.

Have you ever broken your code and wished you could just hit “Undo” to go back to yesterday’s version? Or perhaps you accidentally deleted a function that took hours to write?

Git is a “Version Control System”—essentially a time machine for your code. Every professional Python developer uses it to track changes, collaborate, and protect their work.

Step 1: Install Git

Download and install it from git-scm.com. Once installed, open your terminal and type git --version to confirm it’s ready.

Step 2: The Core Workflow

Open your terminal in your Python project folder and follow these four steps:

1. git init (The Start) Run this once per project to create a hidden “watchtower” in your folder.

git init

2. git status (The Safety Check) Always run this before saving. It shows you which files have changed and what Git is currently seeing.

git status

3. git add . (The Staging) This tells Git: “I want to prepare ALL these changes to be saved.” It’s like putting items in a box before taping it shut.

git add .

4. git commit -m "message" (The Save) This takes the actual snapshot. Always use a descriptive message so your “future self” knows what happened.

git commit -m "Added error handling to currency converter"

The .gitignore File (Crucial for Python!)

Proper Git usage means knowing what not to save. You should never save your venv/ folder or __pycache__ files. They are bulky, machine-specific, and unnecessary.

Create a file named .gitignore (no extension) in your root folder and add these lines:

venv/
__pycache__/
*.pyc
.env

Git will now ignore these files, keeping your repository clean, professional, and fast.

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