Reference library

Git + Python

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

3 matches
Git + Python easy

Detect Merge Conflict Markers in a File with Python

Scan a file line by line to detect Git merge conflict markers (<<<<<<<, =======, >>>>>>>) and report their line numbers with context.

git merge-conflict file-scanning
Python
from pathlib import Path

def detect_merge_conflicts(file_path):
    conflicts = []
    with open(file_path, 'r') as f:
        lines = f.readlines()
    
    for i, line in enumerate(lines, 1):
        if line.startswith('<<<<<<<'):
            conflict_marker = 'conflict start'
            conflicts.append((i, confl…
14 0 Open
Git + Python easy

How to detect secrets in git history with Python

Scan a git history export file for common secret patterns using regex and Python.

git secrets security
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": …
12 0 Open
Git + Python medium

Python Script to Rotate a Leaked API Key

A checklist-driven Python script that scans a codebase for a leaked API key, replaces it with a new one, and prints a step-by-step rotation checklist.

security secrets file-scanning
Python
#!/usr/bin/env python3
"""Checklist for rotating a leaked API key across a codebase."""

import re
from pathlib import Path


CHECKLIST = [
    "Identify all files containing the leaked key",
    "Generate a new key with sufficient entropy",
    "Update the secret storage/CI environment variables",
    "Replace the ol…
14 0 Open

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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.