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Python Code Samples

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

1055 matches
Concurrency & performance easy

How to Wait for the First Future to Complete in Python

Use concurrent.futures.wait with FIRST_COMPLETED to pause until any task finishes and inspect the remaining pending futures.

concurrent.futures wait threading
Python
import concurrent.futures
import time


def task(name, delay):
    time.sleep(delay)
    return f"{name} done"


if __name__ == "__main__":
    with concurrent.futures.ThreadPoolExecutor(max_workers=3) as executor:
        futures = [
            executor.submit(task, "task1", 2),
            executor.submit(task, "ta…
14 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())
15 0 Open
Concurrency & performance easy

How to spawn multiple worker processes in Python with multiprocessing.Process

Spawns three separate worker processes using multiprocessing.Process, runs them concurrently, and waits for all to finish before printing a completion message.

multiprocessing parallel concurrency
Python
import multiprocessing
import time

def worker(name):
    print(f"Worker {name} started")
    time.sleep(1)
    print(f"Worker {name} finished")
    return name

if __name__ == "__main__":
    processes = []
    for i in range(3):
        p = multiprocessing.Process(target=worker, args=(i,))
        processes.append(p…
15 0 Open
Concurrency & performance easy

How to start, join, and make daemon threads in Python

Starts one daemon and one non-daemon thread, joins the non-daemon thread, and shows how daemon threads exit when the main program ends.

threading daemon join
Python
import threading
import time
import logging

logging.basicConfig(level=logging.INFO, format="%(threadName)s: %(message)s")

def worker(name, delay):
    for i in range(3):
        time.sleep(delay)
        logging.info(f"{name} step {i}")

if __name__ == "__main__":
    daemon_thread = threading.Thread(
        target…
14 0 Open
Concurrency & performance easy

How to use ThreadPoolExecutor for concurrent tasks in Python

Run blocking functions in parallel with ThreadPoolExecutor and as_completed, cutting total runtime from 5 sequential sleeps to about 1 second.

concurrency threadpoolexecutor parallel
Python
import time
from concurrent.futures import ThreadPoolExecutor, as_completed


def fetch_data(item):
    """Simulate a slow operation with a fixed delay."""
    time.sleep(0.2)
    return item * 2


def main():
    items = [1, 2, 3, 4, 5]
    start = time.perf_counter()

    with ThreadPoolExecutor(max_workers=3) as ex…
15 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

How to Assert Exceptions in Python with pytest.raises

Use pytest.raises as a context manager to assert that a function raises an expected exception and inspect its message in pytest tests.

pytest testing exceptions
Python
import pytest

def divide(a, b):
    if b == 0:
        raise ValueError("Cannot divide by zero")
    return a / b

def test_divide_by_zero():
    with pytest.raises(ValueError) as exc_info:
        divide(10, 0)
    assert str(exc_info.value) == "Cannot divide by zero"
    assert "zero" in str(exc_info.value)

def te…
16 0 Open
Testing & modern typing easy

How to Capture Logging Records with pytest caplog in Python

Capture and assert on logging records in pytest using the built-in caplog fixture.

pytest logging testing
Python
import logging
import pytest

def divide(a, b):
    """Divide two numbers and log an error if b is zero."""
    if b == 0:
        logging.error("Division by zero attempted")
        return None
    logging.info(f"Dividing {a} by {b}")
    return a / b

def test_divide_logs_error(caplog):
    with caplog.at_level(logg…
16 0 Open
Testing & modern typing easy

How to Compare Files and Show a Diff in Python

Compare two text files and print a unified diff using Python's difflib module to highlight differences.

diff files difflib
Python
import difflib
from pathlib import Path

def compare_files(expected_path: str, actual_path: str) -> str:
    """Compare two text files and return a unified diff."""
    expected = Path(expected_path).read_text()
    actual = Path(actual_path).read_text()

    diff = difflib.unified_diff(
        expected.splitlines(ke…
12 0 Open
Testing & modern typing easy

How to Compare Floats in pytest with approx

Uses pytest.approx to compare floating-point numbers with tolerance, avoiding precision issues.

pytest floating-point testing
Python
import pytest

def test_float_addition():
    result = 0.1 + 0.2
    expected = 0.3
    assert result == pytest.approx(expected)
14 0 Open
Testing & modern typing easy

How to Convert Strings to Types in Python Using TypeVar

A beginner-friendly helper that converts a string to int, float, bool, or str with type hints and graceful failure handling.

typing type-hints conversion
Python
from typing import TypeVar, Optional

T = TypeVar("T")

def convert_data(value: str, target_type: type[T]) -> Optional[T]:
    """Convert string value to target type; return None on failure."""
    try:
        if target_type is int:
            return int(value)
        elif target_type is float:
            return f…
16 0 Open
Testing & modern typing easy

How to Filter Data in Python with Type Hints

A reusable filter_data helper uses optional predicates and numeric bounds with modern Python type hints.

filtering type-hints generics
Python
from typing import Iterable, TypeVar, Callable, Any

T = TypeVar("T")

def filter_data(
    items: Iterable[T],
    predicate: Callable[[T], bool] | None = None,
    *,
    min_value: float | None = None,
    max_value: float | None = None,
) -> list[T]:
    """Filter items by predicate and/or numeric bounds."""
    r…
14 0 Open
Testing & modern typing easy

How to Group Data by Key in Python with Type Hints

Group a list of dictionaries by a specified key using a typed helper function and print a summary of each group.

grouping type-hints dictionaries
Python
from typing import Any, Dict, List, TypeVar, Union

T = TypeVar("T")

def group_by(data: List[Dict[str, Any]], key: str) -> Dict[Any, List[Dict[str, Any]]]:
    """Group a list of dictionaries by a given key."""
    grouped: Dict[Any, List[Dict[str, Any]]] = {}
    for item in data:
        value = item.get(key)
     …
13 0 Open
Testing & modern typing easy

How to Merge TypedDicts in Python

Merge two TypedDict dictionaries with type-aware logic using NotRequired, **kwargs unpacking, and safe key updates.

typing typeddict dict
Python
from typing import TypedDict, NotRequired, merge  # hypothetical

class User(TypedDict):
    name: str
    email: NotRequired[str]
    age: NotRequired[int]

def merge_users(base: User, **overrides: User) -> User:
    """Merge two user dicts with typing-aware logic."""
    result: User = dict(base)
    for key, value …
15 0 Open
Testing & modern typing easy

How to Mock open() in Python for Reading File Data

This example shows how to mock Python's built-in open() function using unittest.mock to simulate file reading without touching the disk.

mock unittest file-io
Python
import builtins
from unittest.mock import patch

def read_file_data(filename):
    with open(filename, 'r') as f:
        return f.read()

def mock_read_data():
    fake_data = "This is mocked file content"
    
    class FakeFile:
        def __enter__(self):
            return self
        def __exit__(self, *args):…
15 0 Open
Testing & modern typing easy

How to Mock pathlib Path.read_text with mock_open in Python

Mock pathlib.Path.read_text using patch and mock_open to test file-reading code without touching the filesystem.

testing mock pathlib
Python
import pathlib
from unittest.mock import mock_open, patch

def read_config(filepath: pathlib.Path) -> str:
    """Read file content with pathlib."""
    return filepath.read_text()

if __name__ == "__main__":
    mock_data = "version: 1.0\nname: demo-app"
    
    with patch("pathlib.Path.open", mock_open(read_data=mo…
15 0 Open
Testing & modern typing easy

How to Mock requests.get in Python

Mock requests.get with unittest.mock to test code that makes HTTP calls without hitting the network.

mocking requests unit-testing
Python
import requests
from unittest.mock import Mock, patch

def fetch_user_data(user_id):
    response = requests.get(f"https://api.example.com/users/{user_id}")
    return response.json()

def process_user(user_id):
    mock_response = Mock()
    mock_response.json.return_value = {"id": user_id, "name": "Alice", "age": 30…
13 0 Open
Testing & modern typing easy

How to Mock return_value with MagicMock in Python unittest

Use unittest.mock.MagicMock to replace a dependency and set return_value to control what a mocked method returns during unit tests.

unittest mock magicmock
Python
import unittest
from unittest.mock import MagicMock


class PaymentGateway:
    def charge(self, amount):
        raise NotImplementedError


class OrderService:
    def __init__(self, gateway):
        self.gateway = gateway

    def process_order(self, amount):
        return self.gateway.charge(amount)


class Test…
14 0 Open
Testing & modern typing easy

How to Mock subprocess.run returncode in Python

Simulate subprocess.run return codes in tests with unittest.mock.patch and CompletedProcess.

unittest mock subprocess
Python
import subprocess
from unittest.mock import patch


def run_command(cmd):
    result = subprocess.run(cmd, capture_output=True, text=True)
    return result.returncode


if __name__ == "__main__":
    with patch("subprocess.run") as mock_run:
        # Simulate a successful command (returncode 0)
        mock_run.retu…
15 0 Open
Testing & modern typing easy

How to Parametrize pytest Tests with Multiple Input Cases in Python

This code shows how to use pytest's @pytest.mark.parametrize decorator to run the same test function across multiple input-output combinations, checking that an add function behaves correctly for each case.

pytest parametrize testing
Python
import pytest

def add(a, b):
    return a + b


@pytest.mark.parametrize("a,b,expected", [
    (1, 2, 3),
    (5, 5, 10),
    (-1, 1, 0),
    (0, 0, 0),
    (10, -3, 7),
])
def test_add(a, b, expected):
    assert add(a, b) == expected


if __name__ == "__main__":
    pytest.main([__file__, "-v"])
15 0 Open
Testing & modern typing easy

How to Parse Data with Type Hints in Python

A beginner-friendly helper that parses simple dictionary- or list-like strings into typed Python structures using modern typing annotations.

type-hints parsing typing
Python
from typing import Any, Dict, List, Union


def parse_data(raw: str) -> Union[Dict[str, Any], List[Any], str]:
    """Parse a simple string into structured data using type hints."""
    cleaned = raw.strip()
    
    if not cleaned:
        return {}
    
    if cleaned.startswith("{") and cleaned.endswith("}"):
     …
11 0 Open
Testing & modern typing easy

How to Share Fixtures Across Tests with pytest conftest

Learn how to define pytest fixtures in conftest.py and control their scope (function, module, session) so every test in a directory reuses the same setup and teardown.

pytest fixtures conftest
Python
import pytest

@pytest.fixture
def sample_data():
    """Simple fixture available to all tests in this directory."""
    return {"name": "Alice", "age": 30}

@pytest.fixture(scope="session")
def session_data():
    """Fixture created once per test session."""
    return {"session_id": 12345}

@pytest.fixture(scope="mo…
16 0 Open
Testing & modern typing easy

How to Skip Slow Tests with pytest.mark in Python

Use pytest.mark.skip and custom marks like @pytest.mark.slow to skip or deselect slow tests during test runs.

pytest testing skip
Python
import pytest
import time


def test_fast():
    assert 1 + 1 == 2


@pytest.mark.skip(reason="slow test skipped by default")
def test_slow():
    time.sleep(5)
    assert True


@pytest.mark.slow
def test_marked_slow():
    time.sleep(5)
    assert True


if __name__ == "__main__":
    pytest.main([__file__, "-v", "-…
13 0 Open
Testing & modern typing easy

How to Sort Data in Python

Sort sequences with type-safe helpers that handle mixed data with a string fallback.

sorting typing protocol
Python
from typing import Any, TypeVar, Protocol, Sequence, Iterable

T = TypeVar("T")
Comparable = TypeVar("Comparable", bound="Comparable")

class Sortable(Protocol):
    def __lt__(self, other: Any) -> bool: ...

S = TypeVar("S", bound=Sortable)

def sort_data(data: Sequence[S], *, reverse: bool = False) -> list[S]:
    "…
15 0 Open

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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.