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Python Code Samples

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

171 matches
Git + Python easy

How to Mock Git Worktree Creation in Python

Create a mock Git worktree setup with parallel branch directories and state files for testing or simulation.

git worktree mock
Python
import os
import tempfile
from pathlib import Path

def create_mock_worktree(base_dir: Path, branches: list[str]) -> dict[str, Path]:
    """
    Mock Git worktree creation: creates parallel directories for each branch
    under the base directory, simulating independent worktrees.
    """
    worktrees = {}
    for b…
14 0 Open
Git + Python easy

Upload Assets to GitHub Release with Python Mock

Simulates uploading binary and text assets to a GitHub release using a mock server, returning structured metadata for each upload.

git github releases
Python
import json
import os
import tempfile
from datetime import datetime

class ReleaseUploader:
    """Simulates uploading assets to a release with a mock server."""
    
    def __init__(self, owner: str, repo: str, tag: str):
        self.owner = owner
        self.repo = repo
        self.tag = tag
        self.uploade…
12 0 Open
Cloud + Python easy

How to Mock CloudFront Invalidation Paths in Python

Build a sorted, deduplicated list of CloudFront invalidation paths from a set of file paths, adding implicit index.html entries.

cloudfront aws cli
Python
import argparse

def build_invalidation_paths(files, include_index=True):
    """
    Create CloudFront invalidation paths from a list of files.
    Converts file names to root-relative paths and optionally adds /index.html.
    """
    paths = []
    for f in files:
        f = f.strip()
        if not f:
           …
16 0 Open
Cloud + Python easy

How to mock EC2 describe-instances tag filtering in Python

Simulate AWS EC2 describe-instances with tag-based filtering using a mock dataset and conditional list comprehension.

ec2 mock aws
Python
import json
from datetime import datetime, timezone


def mock_describe_instances(tag_key: str, tag_value: str) -> list[dict]:
    """Simulate EC2 describe-instances with tag filtering."""
    all_instances = [
        {"InstanceId": "i-0abc123", "State": "running", "Tags": [{"Key": "Name", "Value": "web-server"}, {"K…
15 0 Open
Cloud + Python medium

Mock Route53 change_resource_record_sets in Python

This code demonstrates how to mock AWS Route53 change_resource_record_sets API calls using the botocore Stubber, allowing you to test DNS update logic without touching real infrastructure.

aws route53 boto3
Python
import boto3
from botocore.exceptions import ClientError

def mock_change_resource_record_sets():
    """Demonstrates Route53 change_resource_record_sets with a mock client."""
    # Create a mock Route53 client
    route53 = boto3.client('route53', region_name='us-east-1', 
                          aws_access_key_id…
14 0 Open
Modern tooling easy

Data Conversion Helper Functions in Python

A set of beginner-friendly helper functions to convert between JSON strings and Python data, parse dates, and read/write files using pathlib.

json datetime pathlib
Python
from datetime import datetime
from pathlib import Path
import json

def to_json(data, indent=2):
    """Convert Python data to pretty-printed JSON string."""
    return json.dumps(data, indent=indent, default=str)

def from_json(json_string):
    """Parse JSON string back into Python data."""
    return json.loads(jso…
14 0 Open
Modern tooling easy

How to Format Data with Python's datetime and JSON Helpers

A beginner-friendly set of helper functions to format dates and safely read/write JSON files in Python.

datetime json files
Python
from datetime import datetime
from pathlib import Path
import json


def format_today(pattern: str = "%Y-%m-%d") -> str:
    """Return today's date formatted with the given pattern."""
    return datetime.now().strftime(pattern)


def load_json(file_path: str) -> dict:
    """Read and parse a JSON file safely."""
    …
12 0 Open
Modern tooling easy

How to Load and Inspect CSV Data with a Dataclass Helper in Python

This code defines a DataHelper dataclass that reads a CSV file into a list of dictionaries and prints basic dataset information.

csv dataclass pathlib
Python
from pathlib import Path
from dataclasses import dataclass
from typing import Any


@dataclass
class DataHelper:
    """Simple helper for loading and inspecting CSV data."""
    filepath: Path

    def load_csv(self, *, delimiter: str = ",") -> list[dict[str, Any]]:
        """Read CSV into a list of dictionaries."""
…
16 0 Open
Modern tooling easy

How to Mock OpenTelemetry Tracer Setup in Python

Set up a mock OpenTelemetry tracer with an in-memory span exporter to capture spans for testing and debugging.

opentelemetry testing tracing
Python
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter


def setup_tracer():
    provider = TracerProvider()
    exporter = InMemorySpanExpo…
13 0 Open
Modern tooling easy

How to Mock setuptools_scm get_version in Python

This code demonstrates how to mock setuptools_scm.get_version in Python using unittest.mock.patch to test version retrieval logic without installing or relying on the actual package.

setuptools-scm mock unittest
Python
```python
from unittest.mock import patch

def get_version_from_scm():
    try:
        import setuptools_scm
        return setuptools_scm.get_version()
    except (ImportError, LookupError):
        return None

if __name__ == "__main__":
    with patch("setuptools_scm.get_version", return_value="1.2.3"):
        pr…
14 0 Open
Modern tooling easy

How to Parametrize Tests in Python with pytest

This code demonstrates how to use pytest's @pytest.mark.parametrize decorator to run a single test function against multiple input sets, ensuring comprehensive coverage with minimal code duplication.

pytest parametrize testing
Python
import pytest


def multiply(a, b):
    return a * b


@pytest.mark.parametrize("x, y, expected", [
    (2, 3, 6),
    (4, 5, 20),
    (0, 10, 0),
    (7, 1, 7),
])
def test_multiply(x, y, expected):
    result = multiply(x, y)
    assert result == expected, f"multiply({x}, {y}) = {result}, expected {expected}"


if _…
16 0 Open
Modern tooling easy

How to Read the Python Path from VS Code settings.json in Python

This code loads VS Code's settings.json file and extracts the python.defaultInterpreterPath value, with a mock demonstration for testing.

vscode settings json
Python
import json
from pathlib import Path
from unittest.mock import patch

def read_vscode_python_path(settings_path: Path) -> str:
    """Extract python.defaultInterpreterPath from VS Code settings.json."""
    with open(settings_path, "r") as f:
        settings = json.load(f)
    return settings.get("python", {}).get("d…
13 0 Open
Modern tooling easy

How to Use prompt_toolkit Autocomplete in Python

Demonstrates an interactive command-line prompt with autocomplete using prompt_toolkit's WordCompleter and a mock dataset.

cli autocomplete prompt-toolkit
Python
from prompt_toolkit import prompt
from prompt_toolkit.completion import WordCompleter

def main():
    """Demo of prompt_toolkit autocomplete with a mock dataset."""
    # A simple mock "database" of programming languages
    languages = [
        "Python", "Java", "JavaScript", "TypeScript", "C++", "C#",
        "Go"…
15 0 Open
Modern tooling easy

How to Use pytest Fixtures and conftest.py for Shared Setup in Python

Learn how to define reusable pytest fixtures for shared setup and use them to keep tests clean and maintainable.

pytest fixtures conftest
Python
import pytest

class Calculator:
    def add(self, a, b):
        return a + b

    def multiply(self, a, b):
        return a * b


@pytest.fixture
def calc():
    return Calculator()


@pytest.fixture
def sample_numbers():
    return (3, 5)


def test_add(calc, sample_numbers):
    a, b = sample_numbers
    assert c…
13 0 Open
Modern tooling easy

How to Validate Data with a Simple Dict-Based Rules Helper in Python

Validates a dictionary against a set of callable rules, printing pass/fail per field and returning an overall boolean.

validation dictionary helper
Python
import json
from pathlib import Path
from typing import Any, Callable


def validate_data(
    data: dict[str, Any],
    rules: dict[str, Callable[[Any], bool]],
    path: Path | None = None,
) -> bool:
    """Validate a dict against a set of simple rules."""
    all_valid = True
    for field, validator in rules.item…
15 0 Open
Modern tooling medium

How to set up mypy strict mode in Python

Demonstrates how to configure and run mypy in strict mode to enforce full type annotation coverage across a Python project.

mypy type-hints strict-mode
Python
from typing import Dict, Optional


def describe_user(name: str, age: int, email: Optional[str] = None) -> Dict[str, object]:
    """Build a user description dictionary with strict type annotations."""
    user: Dict[str, object] = {"name": name, "age": age}
    if email is not None:
        user["email"] = email
    …
14 0 Open
Concurrency & performance medium

How to Pause and Resume Threads with threading.Event in Python

Use threading.Event to pause and resume worker threads in Python, controlling execution flow with set and clear methods.

threading events concurrency
Python
import threading
import time

workers = []

def worker(name, event):
    for i in range(10):
        event.wait()
        print(f"{name} step {i}")
        time.sleep(0.1)

def pause_worker(name):
    global pause_event
    for w in workers:
        if w.name == name:
            pause_event.clear()
            print(…
11 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())
13 0 Open
Concurrency & performance medium

Limit Concurrency with asyncio.Semaphore in Python

Use asyncio.Semaphore to cap how many async tasks run at once, throttling a batch of coroutines to a set concurrency limit.

asyncio concurrency semaphore
Python
import asyncio
import random


async def fetch_data(i: int, semaphore: asyncio.Semaphore) -> str:
    async with semaphore:
        print(f"Task {i} starts")
        await asyncio.sleep(random.uniform(0.1, 0.5))
        print(f"Task {i} finishes")
        return f"Result {i}"


async def main() -> None:
    semaphore …
13 0 Open
Testing & modern typing medium

How to Mock an Object Method in Python unittest

Mock a method on an instance or class with @patch.object, set its return value, and assert its call arguments in Python unittest.

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

class Calculator:
    def add(self, a, b):
        return a + b
    
    def multiply(self, a, b):
        return a * b

class TestCalculator(unittest.TestCase):
    def test_add_normal(self):
        calc = Calculator()
        result = calc.add(2, 3)
        self.asse…
14 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…
12 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…
13 0 Open
Testing & modern typing easy

How to Test Environment Variables with pytest monkeypatch in Python

Shows how to use pytest's monkeypatch fixture to set and delete environment variables for isolated tests.

pytest monkeypatch environment variables
Python
import os
import pytest

def get_database_url():
    return os.getenv("DATABASE_URL", "postgres://default")

def test_database_url_with_env(monkeypatch):
    monkeypatch.setenv("DATABASE_URL", "postgres://test-db")
    assert get_database_url() == "postgres://test-db"

def test_database_url_default(monkeypatch):
    m…
12 0 Open
Testing & modern typing easy

How to Use setUp and tearDown in Python unittest TestCase

Demonstrates how to structure unit tests with setUp and tearDown methods in Python's unittest framework for reusable test fixtures.

unittest testing setupteardown
Python
import unittest


class ExampleTest(unittest.TestCase):
    def setUp(self):
        self.data = [1, 2, 3]

    def tearDown(self):
        self.data = None

    def test_length(self):
        self.assertEqual(len(self.data), 3)

    def test_contains(self):
        self.assertIn(2, self.data)


if __name__ == "__main…
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.