Reference library

Python Code Samples

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

2 matches
Automation & scripting easy

How to Find Stale GitHub Issues in Python

Filter a list of GitHub issues to find those not updated within a configurable number of days using Python datetime arithmetic.

github issues automation
Python
import os
from datetime import datetime, timezone, timedelta
import re

# Simulated GitHub issue data structure
SAMPLE_ISSUES = [
    {"number": 101, "title": "Login button not working", "updated_at": "2025-06-01T12:00:00Z", "assignee": "alice"},
    {"number": 102, "title": "Fix database migration error", "updated_at…
35 0 Open
Reliability & rate limiting easy

Implementing Fallback with Cached Stale Data in Python

This code demonstrates a resilient data-fetching pattern that caches successful responses, falls back to cached data when the external API fails, and returns stale data as a last-resort fallback.

cache fallback resilience
Python
import random
import time

# Simulated cache dictionary: key -> (value, timestamp)
_cache = {}
_CACHE_TTL = 3  # seconds

# Mock data source (simulates an unreliable external API)
def fetch_mock_data(key):
    failure = random.random() < 0.4  # 40% chance of failure
    if failure:
        raise ConnectionError("Mock …
14 0 Open

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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

  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.