Git + Python
Automate Git from Python — diffs, hooks, release tags, and repo housekeeping.
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 Filter Git History to Remove Secret File Entries in Python
A pure-Python mock that filters a repository's history to drop any commit that touched a secret file, so you can plan a cleanup before rewriting Git history.
from pathlib import Path
import json
def filter_history(history, secret_path):
"""Remove entries that touch the secret file."""
return [entry for entry in history if secret_path not in entry["files"]]
if __name__ == "__main__":
repo_history = [
{"commit": "a1b2c3", "message": "Add app", "files": …How to detect secrets in git history with Python
Scan a git history export file for common secret patterns using regex and Python.
import re
from pathlib import Path
def scan_history_for_secrets(history_file: str) -> list:
"""Scan a git history export for potential secrets using regex patterns."""
patterns = {
"AWS Access Key": r"AKIA[0-9A-Z]{16}",
"GitHub Token": r"gh[pousr]_[0-9A-Za-z]{36,255}",
"Private Key": …Verify Git tag signatures with HMAC in Python
Create and verify deterministic HMAC-SHA256 signatures for git tags using the Python standard library.
import hashlib
import hmac
def sign_tag(tag: str, secret_key: str) -> str:
"""Create a deterministic HMAC signature for a tag."""
message = tag.encode("utf-8")
key = secret_key.encode("utf-8")
return hmac.new(key, message, hashlib.sha256).hexdigest()
def verify_signed_tag(tag: str, signature: str, …Browse by section
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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.
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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.