Git + Python
Automate Git from Python — diffs, hooks, release tags, and repo housekeeping.
Generate CHANGELOG from Conventional Commits in Python
Parse your git log for conventional commits (feat, fix) and produce a simple Markdown CHANGELOG with grouped features and bug fixes.
import subprocess
import re
import sys
from collections import OrderedDict
CONVENTIONAL_COMMIT = re.compile(
r"^(?P<type>feat|fix|chore|docs|refactor|perf|test|build|ci|style)(?:\((?P<scope>[^)]+)\))?: (?P<description>.+)"
)
def get_git_log():
return subprocess.run(
["git", "log", "--format=%s"],
…Generate Release Notes Markdown from PR Titles in Python
Generate structured Markdown release notes from a list of pull request titles using conventional commit types.
import json
from datetime import datetime, timezone
PRS = [
{"title": "feat: add user login", "number": 12, "merged_at": "2025-01-10"},
{"title": "fix: resolve payment timeout", "number": 13, "merged_at": "2025-01-11"},
{"title": "chore: bump dependencies", "number": 14, "merged_at": "2025-01-12"},
{"…Get Git Status Info in Python
Run git commands from Python to gather branch name, number of changes, total commits, and clean status, returning them as a dict.
import subprocess
import json
from pathlib import Path
def get_git_status(repo_path="."):
"""Return basic git info about a repository as a dict."""
try:
branch = subprocess.check_output(
["git", "branch", "--show-current"],
cwd=repo_path,
stderr=subprocess.DEVNULL,…Git Signing in Python
Sign and verify Git commits with a mock GPG implementation using HMAC and SHA-256.
import hashlib
import hmac
class GPGMock:
def __init__(self, secret_key):
self.secret_key = secret_key.encode()
def sign_commit(self, commit_message):
"""Mock GPG signing by computing an HMAC of the commit message."""
signature = hmac.new(self.secret_key, commit_message.encode(), hash…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.
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
…How to Generate Release Notes from Git Commit Messages in Python
This script fetches recent Git commit messages using conventional commit prefixes (feat, fix, etc.), categorizes them, and prints formatted release notes with today's date.
import subprocess
import re
from datetime import datetime
def get_git_log(since_tag="HEAD~10", format_str="%s"):
"""Retrieve commit messages from git log."""
try:
result = subprocess.run(
["git", "log", f"--since={since_tag}", f"--format={format_str}"],
capture_output=True,
…How to Make a Git Commit Heatmap by Hour in Python
Parse a git log output and count commits by weekday and hour, then print a compact heatmap table.
import re
from collections import Counter
from datetime import datetime
def parse_commits(log_text):
"""Parse git log lines and count commits by (weekday, hour)."""
pattern = re.compile(r"^Date:\s+(.+)$")
counts = Counter()
for line in log_text.splitlines():
match = pattern.match(line)
…How to Squash Commits Range into One in Python
A mock script that displays the last N git commits as a single squashed commit, showing original commit subjects.
import subprocess
import re
def squash_last_commits(count):
"""Mock squashing the last N commits into one by display."""
git_log = subprocess.run(
["git", "log", f"-{count}", "--pretty=format:%h %s"],
capture_output=True, text=True
)
if git_log.returncode != 0:
return "Git comm…Browse by section
Each section groups closely related Python snippets.
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.