Python Code
Samples
Easy snippets you can copy, study, and run in the browser editor.
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,…
Run Background Tasks with asyncio.create_task in Python
Create background tasks in an asyncio event loop with asyncio.create_task and run them concurrently using asyncio.gather.
import asyncio
import time
async def background_worker(name, duration):
"""Simulates a long-running background task."""
print(f"{name} started at t={time.monotonic():.1f}")
await asyncio.sleep(duration)
print(f"{name} finished at t={time.monotonic():.1f}")
async def main():
print(f"Main starting …
How to Compose Parallel API Calls in Python with asyncio.gather
Compose multiple mock API responses in parallel using asyncio.gather with per-service simulated latency.
import asyncio
import random
import time
async def mock_api(name: str, delay: float) -> dict:
await asyncio.sleep(delay)
return {"service": name, "value": random.randint(1, 100)}
async def fetch_all():
services = {
"users": mock_api("users", 0.2),
"orders": mock_api("orders", 0.3),
…
Scatter Gather Aggregate Pattern in Python
Simulates a scatter/gather/aggregate pattern by distributing work across items, gathering results, and aggregating them.
import random
def process_items(items, scatter_fn, gather_fn, aggregate_fn):
"""Simple scatter/gather/aggregate pattern simulation."""
scattered = [scatter_fn(item) for item in items]
gathered = [gather_fn(item) for item in scattered]
return aggregate_fn(gathered)
if __name__ == "__main__":
data …
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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
- Pick a topic section — strings, lists, files, functions, and more
- Open a sample, read How it works, and copy the code block
- 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.