Reference library

Git + Python

Automate Git from Python — diffs, hooks, release tags, and repo housekeeping.

3 matches
Git + Python easy

How to Auto-Suggest a SemVer Bump From Git Commit Messages in Python

This code scans Git commit messages (recent or sample) and suggests the next Semantic Versioning bump type — major, minor, patch, or none.

semver git automation
Python
import re
import subprocess
from pathlib import Path


def get_commit_messages(path="."):
    """Read commit messages from a repo or use sample messages."""
    if (Path(path) / ".git").exists():
        out = subprocess.run(
            ["git", "-C", path, "log", "--pretty=%s"], capture_output=True, text=True
       …
13 0 Open
Git + Python easy

How to Create a Git Branch if it Doesn't Exist in Python

Utility script that checks if a Git branch exists locally and either creates it or checks it out, with error handling.

git subprocess branch
Python
import subprocess
import sys

def ensure_branch(branch_name):
    """Create a Git branch if it doesn't exist, otherwise checkout it."""
    try:
        # Check if the branch exists locally
        result = subprocess.run(
            ["git", "branch", "--list", branch_name],
            capture_output=True,
         …
10 0 Open
Git + Python easy

How to Mock subprocess.run in Python Tests

Mock subprocess.run to test a Git submodule update command without executing it in your test suite.

unittest.mock subprocess git
Python
import subprocess
from unittest.mock import Mock, patch

def update_submodules():
    subprocess.run(["git", "submodule", "update", "--init", "--recursive"], check=True)

with patch("subprocess.run") as mock_run:
    mock_run.return_value = Mock(returncode=0)
    update_submodules()
    mock_run.assert_called_once_wit…
13 0 Open

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Git + Python — Python code examples

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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.

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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.