Reference library

Python Code Samples

Copy-ready Python snippets by topic and difficulty — short, focused, and runnable in the browser editor.

2 matches
Testing & modern typing easy

Generate Fake User Data with Faker in Python

Use the Faker library to generate realistic fake user profiles with names, emails, phone numbers, and addresses for tests or demos.

faker fake-data testing
Python
from faker import Faker

fake = Faker()

def generate_user():
    return {
        "name": fake.name(),
        "email": fake.email(),
        "phone": fake.phone_number(),
        "address": fake.address().replace("\n", ", "),
    }

if __name__ == "__main__":
    user = generate_user()
    for key, value in user.ite…
10 0 Open
Caching & Redis medium

How to Cache Function Results in Redis with Python

A Python decorator that caches function results in Redis using TTL, with optional fakeredis for testing without a server.

redis caching decorator
Python
import redis
import json
import time
try:
    import fakeredis
except ImportError:
    fakeredis = None

from functools import wraps


def cache_redis(cache_key_prefix="cache", ttl=60):
    """Decorator to cache function results in Redis."""
    if fakeredis:
        r = fakeredis.FakeStrictRedis()
    else:
        r…
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.