Git + Python
Automate Git from Python — diffs, hooks, release tags, and repo housekeeping.
Find the Commit That Introduced a String in Git History Using Python
Use git log -S with Python subprocess to find the earliest commit that introduced a specific string across your repository history.
import subprocess
import sys
def find_introducing_commit(repo_path: str, search_string: str, file_glob: str = "*") -> str:
"""Find the first commit that introduced a given string in a git repository."""
result = subprocess.run(
["git", "-C", repo_path, "log", "--all", "--oneline", "-S", search_string…
How to Archive a Repository as a ZIP in Python
Create a ZIP archive of a repository directory with a mock export, skipping hidden files and __pycache__ folders.
import zipfile
import io
import os
from pathlib import Path
def archive_repo_mock(repo_path, output_path="repo_archive.zip"):
"""Create a zip archive of a repository directory (mock export)."""
repo = Path(repo_path)
if not repo.exists():
raise FileNotFoundError(f"Repository not found: {repo}")
…
How to Mock Git Cherry-Pick in Python for Tests
Mock the `repo.git.cherry_pick` method with `unittest.mock` to test a Git cherry-pick helper without a real repository.
from unittest.mock import patch, MagicMock
class GitCherryPicker:
def __init__(self):
self.applied_commits = []
def cherry_pick(self, commit_hash, repo):
try:
result = repo.git.cherry_pick(commit_hash)
self.applied_commits.append(commit_hash)
return f"A…
How to Mock Git Stash and Pop in Python
Mock Git stash, apply, and pop operations using unittest.mock so you can test Git automation without touching a real repository.
import git
from unittest.mock import Mock, patch
def stash_and_pop(repo):
"""Mock a stash operation and then pop it back."""
repo.git.stash("save", "WIP: temp changes")
stashed_output = repo.git.stash("list")
# Simulate the stash was applied, then pop
repo.git.stash("apply", "stash@{0}")
…
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Git + Python — Python code examples
What you will find here
This page collects git + python snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.
Samples vs tutorials and challenges
Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.