Reference library

Python Code Samples

Easy snippets you can copy, study, and run in the browser editor.

2 matches
Automation & scripting easy

How to stage and commit all changes with Git in Python

Run git add -A and git commit from Python using subprocess to automate staging and committing all file changes in one step.

git subprocess automation
Python
import subprocess
from pathlib import Path

def stage_and_commit_all(commit_message: str) -> None:
    """Stage all changes and create a commit with the given message."""
    repo_root = Path.cwd()
    if not (repo_root / ".git").exists():
        raise RuntimeError("Not inside a Git repository")

    subprocess.run([…
11 0 Open
Production deployment patterns easy

How to Deploy Staging Then Production in Python

Walk through a staged deployment mock that promotes from staging to production in sequence with Python.

deployment staging production
Python
import time

def deploy_environment(name: str) -> None:
    print(f"Deploying to {name}...")
    time.sleep(0.1)
    print(f"Deployed to {name} ✔")

def deploy_staging_then_prod() -> None:
    environments = ["staging", "production"]
    for env in environments:
        deploy_environment(env)
        if env == "stagi…
14 0 Open

Browse by section

Each section groups closely related Python snippets.

Guide: free Python code samples library

Copy-ready Python snippets for learners and developers

PythonSkillset code samples are short, focused examples organised by topic and difficulty. Every snippet is server-rendered HTML — readable by search engines and easy to copy. Open any sample, read the notes, copy the code, then press Try in editor to run it in the browser with Pyodide.

How to use this library

  1. Pick a topic section — strings, lists, files, functions, and more
  2. Open a sample, read How it works, and copy the code block
  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

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.