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

How to Write a Fast Smoke Test for a Critical Path in Python

A quick smoke test that validates the /health critical path executes fast enough, raising errors on wrong paths or slow responses.

smoke-test performance health-check
Python
import time

def smoke_test(path):
    if path != "/health":
        raise ValueError("Critical path expected /health")
    start = time.perf_counter()
    # Simulate the critical health check work
    time.sleep(0.01)
    elapsed = time.perf_counter() - start
    if elapsed > 0.05:
        raise RuntimeError("Health …
12 0 Open
Production deployment patterns medium

How to Smoke Test a Deployment in Python with unittest.mock

Run a post-deploy smoke test by mocking the deployment status check to verify your health-check logic returns PASS/FAIL.

deployment smoke-test unittest-mock
Python
import unittest
from unittest.mock import Mock, patch

class DeploymentService:
    def check_status(self):
        return "unknown"

def smoke_test_deploy():
    service = DeploymentService()
    with patch.object(service, "check_status", return_value="healthy") as mock_check:
        status = service.check_status()
…
13 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.