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Python Code Samples

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

113 matches
AI & LLM integration patterns easy

How to Build an Agent Loop with Plan, Act, Observe in Python

Implements a simple plan-act-observe loop that an AI agent uses to iteratively complete a task in an environment while storing observations in memory.

agents loop llm
Python
class Agent:
    def __init__(self, name):
        self.name = name
        self.memory = {}

    def plan(self, task):
        return f"Plan for {task}: step 1, step 2, step 3"

    def act(self, plan, environment):
        return f"Executing {plan} in {environment}"

    def observe(self, action_result):
        sel…
19 0 Open
Automation & scripting easy

How to Schedule Local Tasks Without Cron in Python

Run periodic tasks on a loop using the schedule library to mimic cron-like behavior from within Python.

schedule automation cron
Python
import schedule
import time
from datetime import datetime

def greet():
    print(f"Hello at {datetime.now().strftime('%H:%M:%S')}")

def check_time():
    now = datetime.now()
    print(f"Current time: {now:%H:%M:%S}")

schedule.every(5).seconds.do(greet)
schedule.every(10).seconds.do(check_time)
schedule.every(1).mi…
39 0 Open
Automation & scripting easy

Schedule Daily Task in Python

Use the schedule library to queue a daily task at a fixed time, then simulate a loop that checks for pending jobs.

schedule cron timers
Python
import schedule
import time
from datetime import datetime

def daily_task():
    print(f"Task executed at {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")

schedule.every().day.at("10:30").do(daily_task)

if __name__ == "__main__":
    for _ in range(3):
        schedule.run_pending()
        time.sleep(1)
13 0 Open
Cloud + Python easy

How to Implement Retry with Exponential Backoff for Cloud API 429 Errors in Python

Implement a retry-with-backoff loop in Python to handle 429 throttling errors from cloud APIs, using exponential delay between attempts.

retry backoff 429
Python
import time
import random
import requests


def api_call(attempt):
    """Mock cloud API that returns 429 for the first two attempts."""
    if attempt < 2:
        return 429, "Too Many Requests"
    return 200, {"data": "success"}


def retry_with_backoff(api_func, max_retries=3, base_delay=0.1):
    for attempt in …
13 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"[…
16 0 Open
Concurrency & performance easy

How to Run an Async Main with asyncio.run in Python

Show the canonical entry point for an asyncio program: define an async main, then launch it with asyncio.run.

asyncio event loop entry point
Python
import asyncio


async def main():
    print("Hello from async main")
    await asyncio.sleep(0.1)
    print("Done")


if __name__ == "__main__":
    asyncio.run(main())
17 0 Open
Concurrency & performance easy

How to Use uvloop Faster Event Loop

Install uvloop at startup to replace asyncio's default event loop with a faster libuv-based one, with a graceful fallback when it's unavailable.

uvloop asyncio event-loop
Python
import asyncio
try:
    import uvloop
    uvloop.install()
    USING_UVLOOP = True
except ImportError:
    USING_UVLOOP = False


async def fetch_data(index):
    await asyncio.sleep(0.01)
    return f"data-{index}"


async def main():
    tasks = [fetch_data(i) for i in range(10)]
    results = await asyncio.gather(*…
15 0 Open
Concurrency & performance easy

How to set a timeout with asyncio.wait_for in Python

Use asyncio.wait_for to bound an async function with a timeout, catching TimeoutError when it exceeds the limit.

asyncio timeout concurrency
Python
import asyncio

async def slow_task():
    await asyncio.sleep(3)
    return "finished"

async def main():
    try:
        result = await asyncio.wait_for(slow_task(), timeout=1)
        print(result)
    except asyncio.TimeoutError:
        print("Task timed out")

if __name__ == "__main__":
    asyncio.run(main())
14 0 Open
Concurrency & performance easy

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.

asyncio async concurrency
Python
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 …
14 0 Open
Concurrency & performance easy

asyncio sleep cooperative scheduling demo in Python

This demo shows how asyncio.sleep yields control between concurrent tasks, letting multiple workers interleave their ticks.

asyncio concurrency scheduling
Python
import asyncio

async def worker(name, delay):
    for i in range(3):
        print(f"{name}: tick {i}")
        await asyncio.sleep(delay)
    return f"{name} done"

async def main():
    tasks = [
        asyncio.create_task(worker("A", 0.1)),
        asyncio.create_task(worker("B", 0.2)),
        asyncio.create_tas…
13 0 Open
Testing & modern typing easy

Dataclass with Type Hints Fields in Python

Create a data class with typed fields and default values, then instantiate and inspect it.

dataclass type hints oop
Python
from dataclasses import dataclass


@dataclass
class Person:
    name: str
    age: int
    email: str = "unknown@example.com"
    is_active: bool = True


if __name__ == "__main__":
    person = Person(name="Alice", age=30)
    print(person)
    print(f"Name: {person.name}, Age: {person.age}, Email: {person.email}, A…
15 0 Open
System design patterns easy

How to Implement a Factory Method by Type String in Python

A factory method maps a type string to a class, creating and returning the appropriate object instance while handling unknown types gracefully.

factory-pattern design-patterns oop
Python
class Animal:
    def speak(self):
        raise NotImplementedError


class Dog(Animal):
    def speak(self):
        return "Woof!"


class Cat(Animal):
    def speak(self):
        return "Meow!"


class AnimalFactory:
    @staticmethod
    def create(animal_type: str) -> Animal:
        animal_types = {
          …
15 0 Open
System design patterns easy

How to Take Periodic Snapshots of Aggregate State in Python

Build a Python class that accumulates values and periodically captures immutable snapshots of total, count, and average for later analysis.

aggregation snapshots state-management
Python
import time
import random
from collections import defaultdict


class SnapshotAggregator:
    def __init__(self):
        self.total = 0
        self.count = 0
        self.history = []

    def add(self, value):
        self.total += value
        self.count += 1

    def snapshot(self):
        avg = self.total / se…
14 0 Open
System design patterns easy

Python MVC Pattern Example (Model-View-Controller)

A minimal, runnable Model-View-Controller (MVC) example in pure Python that separates data, presentation, and logic.

mvc design-pattern architecture
Python
class Model:
    def __init__(self):
        self.data = {"title": "Initial Title", "content": "Initial Content"}

    def get_data(self):
        return self.data

    def update_data(self, title=None, content=None):
        if title:
            self.data["title"] = title
        if content:
            self.data["c…
16 0 Open
Microservices patterns easy

How to Build a Microservice Helper in Python

A beginner-friendly Python helper that validates input, normalizes service responses, and simulates user management—showing clean patterns for microservice development.

microservices validation oop
Python
import json
from typing import Any, Dict, List


class DataValidator:
    """Simple validator for common data patterns."""

    @staticmethod
    def is_valid_email(value: str) -> bool:
        """Check if value looks like an email."""
        return "@" in value and "." in value.split("@")[-1]

    @staticmethod
    …
13 0 Open
Database scaling & optimization easy

How to Count Star vs Estimate Matches in Python

Count how many times 'star' and 'estimate' annotations match their actual labels in a list of mock comparison results.

counting dictionary matching
Python
def count_star_vs_estimate(mock_scores):
    """
    Count the number of times 'star' wins and 'estimate' wins
    from a list of mock comparison results.

    Args:
        mock_scores: list of tuples, each (annotation, actual)
                     where annotation is 'star' or 'estimate'

    Returns:
        dict w…
13 0 Open
Production deployment patterns easy

How to Mock Docker Image Non-Root User in Python

This Python class simulates Docker image layers and inspects whether the final user is a non-root user, returning UID, GID, and security status.

docker security mock
Python
from pathlib import Path


class DockerImageMock:
    def __init__(self, name, tag):
        self.name = name
        self.tag = tag
        self.layers = []
        self.user = "root"

    def add_file(self, path, content):
        self.layers.append({"file": path, "content": content})

    def set_user(self, usernam…
12 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.

How to use this library

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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.