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Python Code Samples

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

6 matches
Functions & basics easy

How to Compose Two Functions into a Single Callable in Python

Combine two Python functions into a single callable using a compose helper, then apply the chained call.

functions composition lambda
Python
def add_one(x):
    return x + 1

def double(x):
    return x * 2

def compose(f, g):
    return lambda x: f(g(x))

add_then_double = compose(double, add_one)
double_then_add = compose(add_one, double)

result1 = add_then_double(5)
result2 = double_then_add(5)

print(f"add_one then double(5) = {result1}")
print(f"doub…
12 0 Open
Data pipelines & processing easy

Pipeline stage compose functions left to right in Python

Compose multiple functions into a left-to-right pipeline so each stage receives the output of the previous one.

composition pipeline functional
Python
def compose(*funcs):
    """Compose functions left to right: compose(f, g, h)(x) == h(g(f(x)))"""
    def composed(arg):
        result = arg
        for func in funcs:
            result = func(result)
        return result
    return composed

if __name__ == "__main__":
    def add_one(x):
        return x + 1

    …
15 0 Open
Modern tooling easy

How to Mock docker compose up Healthcheck in Python

Simulate docker compose up with a healthcheck cycle using Python loops, delays, and simulated service statuses.

docker healthcheck simulation
Python
import subprocess
import time

def run_healthcheck():
    """Mock a docker compose up with a healthcheck cycle."""
    services = ["web", "db", "cache"]
    
    print("Starting docker compose services...")
    for service in services:
        print(f"[{service}] starting...")
        time.sleep(0.1)
        print(f"[…
14 0 Open
Testing & modern typing medium

How to Run an Integration Test with Docker Compose Mock in Python

Run a Python integration test against a docker-compose environment, using mocks to simulate service health and business logic responses.

docker integration-testing mocking
Python
import subprocess
import json
from typing import Dict

def run_integration_test() -> Dict[str, str]:
    """
    Simulates an integration test against a docker-compose environment
    using a mock service that returns canned responses.
    """
    # Mock docker-compose environment check
    env_ready = subprocess.run(…
14 0 Open
Microservices patterns easy

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.

asyncio concurrency api
Python
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),
      …
15 0 Open
Production deployment patterns easy

Generate a docker-compose.yml with mock services in Python

Build a docker-compose.yml string from a Python dict of service names and images, then write it to a file.

docker compose yaml
Python
import yaml
from pathlib import Path

def generate_mock_compose(services: dict) -> str:
    compose = {
        "version": "3.9",
        "services": {}
    }
    
    for name, image in services.items():
        compose["services"][name] = {
            "image": image,
            "container_name": f"mock-{name}",
  …
17 0 Open

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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.

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  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.