Reference library

Python Code Samples

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

166 matches
Git + Python easy

Verify Git tag signatures with HMAC in Python

Create and verify deterministic HMAC-SHA256 signatures for git tags using the Python standard library.

hmac git security
Python
import hashlib
import hmac


def sign_tag(tag: str, secret_key: str) -> str:
    """Create a deterministic HMAC signature for a tag."""
    message = tag.encode("utf-8")
    key = secret_key.encode("utf-8")
    return hmac.new(key, message, hashlib.sha256).hexdigest()


def verify_signed_tag(tag: str, signature: str, …
14 0 Open
Cloud + Python medium

Cross Account Role Chaining Mock Credentials in Python

Simulate AWS STS AssumeRole with mock credentials for cross-account role chaining in Python.

aws sts mock
Python
import json

class CredentialChain:
    def __init__(self, account_id, role_name):
        self.account_id = account_id
        self.role_name = role_name
        self.credentials = {}

    def assume_role(self, session_name="mock_session"):
        """Simulate STS AssumeRole, returning mock credentials with expiry.""…
18 0 Open
Cloud + Python easy

How to Generate a Mock EKS Kubeconfig in Python

Generate a minimal kubeconfig dict with a mock EKS cluster entry and dump it to YAML using PyYAML.

kubeconfig eks yaml
Python
import yaml
from pathlib import Path


def mock_eks_kubeconfig(cluster_name: str) -> dict:
    """Return a minimal kubeconfig dict with a mock EKS cluster entry."""
    return {
        "apiVersion": "v1",
        "kind": "Config",
        "clusters": [
            {
                "name": f"arn:aws:eks:us-east-1:123…
15 0 Open
Cloud + Python easy

Mock GCP Secret Manager access version in Python

A minimal mock of GCP Secret Manager that stores secret versions, retrieves payloads by version, and logs access timestamps.

gcp secret-manager mock
Python
import json
import time
from datetime import datetime, timezone


class MockSecretManager:
    """Minimal mock of GCP Secret Manager access/version behavior."""

    def __init__(self):
        self._secrets = {}
        self._access_log = []

    def create_secret(self, secret_id: str, payload: str) -> dict:
        …
15 0 Open
Modern tooling easy

Build a Textual TUI App Skeleton in Python

Create a minimal Textual terminal UI app with a header, label, button, and footer, ready for interactive mock demonstrations.

textual tui terminal
Python
from textual.app import App, ComposeResult
from textual.widgets import Header, Footer, Button, Label

class MockApp(App):
    """A minimal Textual TUI app skeleton."""

    BINDINGS = [("q", "quit", "Quit")]

    def compose(self) -> ComposeResult:
        """Create child widgets."""
        yield Header()
        yie…
17 0 Open
Modern tooling easy

How to Build a Chainable Filter Helper in Python

A beginner-friendly dataclass helper that chains filters, uniqueness, and slicing on any sequence, returning a plain list at the end.

dataclass chaining filter
Python
from dataclasses import dataclass
from typing import Callable, Iterator, Sequence, TypeVar

T = TypeVar("T")


@dataclass
class FilterAssistant:
    """Beginner-friendly helper to filter any collection."""

    data: Sequence[T]

    def where(self, predicate: Callable[[T], bool]) -> "FilterAssistant":
        return …
16 0 Open
Modern tooling easy

How to Initialize Sentry SDK with a Mock DSN in Python

Initialize the Sentry SDK in Python with a mock DSN to test error tracking without sending real events, then verify the DSN configuration.

sentry sdk dsn
Python
import sentry_sdk

# Initialize Sentry SDK with a mock DSN (no real events will be sent)
sentry_sdk.init(
    dsn="https://mock-public@mock-host/mock-project",
    traces_sample_rate=1.0,
    environment="development",
)

# Capture a test message to confirm SDK is configured
sentry_sdk.capture_message("Test message fr…
13 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

pytest mark slow skip integration

Uses pytest markers to select fast tests, skip unfinished ones, and run integration checks with verbose output.

pytest markers testing
Python
import pytest

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

@pytest.mark.slow
def test_slow():
    import time
    time.sleep(1)
    assert 5 * 5 == 25

@pytest.mark.skip(reason="Not ready for production")
def test_skipped():
    assert 2 + 2 == 5

@pytest.mark.integration
def test_integration():
    database = {"users": […
17 0 Open
Concurrency & performance medium

How to Use as_completed to Process Futures in Order of Completion

Submit multiple tasks to a ThreadPoolExecutor and process each result as soon as it finishes using as_completed.

concurrency threads futures
Python
from concurrent.futures import ThreadPoolExecutor, as_completed
import time


def fetch_data(item_id):
    time.sleep(1)
    return f"item-{item_id}"


def main():
    with ThreadPoolExecutor(max_workers=3) as executor:
        future_map = {executor.submit(fetch_data, i): i for i in range(1, 6)}
        for future in…
15 0 Open
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…
13 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…
14 0 Open
Testing & modern typing medium

How to Benchmark Python Code with pytest-benchmark and mocks

Use pytest-benchmark to measure function performance while combining Mock and patch for controlled test scenarios.

pytest benchmark mock
Python
import time
from unittest.mock import Mock, patch

import pytest
from pytest_benchmark.fixture import BenchmarkFixture


def heavy_operation(data: list[int]) -> int:
    """Simulates a CPU-bound operation."""
    return sum(x * x for x in data)


def test_heavy_operation_benchmark(benchmark: BenchmarkFixture) -> None:…
14 0 Open
Testing & modern typing medium

How to Use Hypothesis Strategies for Lists of Text in Python

Generate random lists of non-empty strings with Hypothesis and verify that joining them with a comma-and-space separator meets expected length and containment invariants.

hypothesis property-based-testing strategies
Python
from hypothesis import given, strategies as st
from hypothesis import example


@given(st.lists(st.text(min_size=1, max_size=10), min_size=1, max_size=5))
def test_joined_string_length(items):
    """Each text is non-empty; a joined string should be at least as long
    as the number of items (separator adds character…
13 0 Open
Testing & modern typing easy

How to freeze time in Python tests with freezegun

Use the freezegun decorator to freeze datetime.now() at a fixed timestamp so tests that depend on current time run deterministically.

freezegun datetime testing
Python
from datetime import datetime
from freezegun import freeze_time


@freeze_time("2024-01-15 12:30:00")
def test_frozen_time():
    now = datetime.now()
    return now


if __name__ == "__main__":
    result = test_frozen_time()
    print(result)
15 0 Open
System design patterns medium

Build a BFF (Backend for Frontend) Mock Aggregator in Python

A minimal HTTP server implementing the BFF pattern that aggregates user data and orders from two mock backends into a single JSON response.

bff http-server aggregation
Python
import json
from http.server import BaseHTTPRequestHandler, HTTPServer
from urllib.parse import urlparse


class MockBackendA:
    def get_user(self, user_id):
        return {"id": user_id, "name": "Alice", "service": "backend-a"}


class MockBackendB:
    def get_orders(self, user_id):
        return [
            {…
19 0 Open
System design patterns easy

How to Build an MVP Presenter View Mock in Python

A minimal MVP (Model-View-Presenter) mock showing a Presenter controlling a SlideDeck model with slide navigation and typed state via dataclasses.

dataclasses mvp design-patterns
Python
from dataclasses import dataclass, field
from typing import List


@dataclass
class SlideDeck:
    title: str
    slides: List[str] = field(default_factory=list)
    current_index: int = 0

    def next_slide(self) -> str:
        if self.current_index < len(self.slides) - 1:
            self.current_index += 1
      …
13 0 Open
System design patterns medium

How to Implement a Simple MVVM Binding Mock in Python

A minimal Python implementation of the MVVM pattern, mocking data binding so views auto-update when the view model changes.

mvvm binding observer pattern
Python
class BindingMock:
    def __init__(self, view_model):
        self.view_model = view_model
        self.subscribers = []

    def bind(self, property_name, callback):
        self.subscribers.append((property_name, callback))

    def set(self, property_name, value):
        setattr(self.view_model, property_name, va…
18 0 Open
System design patterns medium

Implement a Consistent Hash Ring in Python

Build a minimal consistent hash ring with virtual nodes to map keys to servers stably as nodes are added or removed.

consistent-hashing hashing distributed-systems
Python
import hashlib
import bisect


class ConsistentHashRing:
    def __init__(self, nodes=None, replicas=3):
        self.replicas = replicas
        self.ring = {}
        self.sorted_keys = []
        if nodes:
            for node in nodes:
                self.add_node(node)

    def _hash(self, key):
        return i…
15 0 Open
System design patterns medium

Microkernel Plug-in Core Mock in Python

Implements a minimal microkernel plug-in core that registers, unregisters, and executes synchronous or asynchronous plugins via a pluggable manager class.

microkernel plugin design-patterns
Python
import json
import abc
import inspect


class MicrokernelCore(abc.ABC):

    def __init__(self):
        self._plugins = {}

    def register(self, name, plugin):
        self._plugins[name] = plugin

    def unregister(self, name):
        return self._plugins.pop(name, None)

    def execute(self, name, *args, **kwa…
13 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…
15 0 Open
API design & gRPC medium

Build a Mock REST API with PUT and GET in Python

A minimal mock REST server implementing idempotent PUT for resource replacement and GET for retrieval, built with Python's http.server module.

rest-api http-server mock
Python
from http.server import BaseHTTPRequestHandler, HTTPServer
import json
from urllib.parse import urlparse

mock_db = {}

class MockAPIHandler(BaseHTTPRequestHandler):
    def do_PUT(self):
        parsed = urlparse(self.path)
        resource_id = parsed.path.strip("/").split("/")[-1]
        content_length = int(self.…
17 0 Open
API design & gRPC medium

How to Build Cursor Pagination with Next and Prev Tokens in Python

A minimal cursor pagination implementation that returns next and previous cursor tokens for navigating a dataset.

pagination cursor api
Python
from pprint import pprint


def make_cursor(page):
    return f"page:{page:04d}"


def parse_cursor(cursor):
    _, page = cursor.split(":", 1)
    return int(page)


def paginate(all_items, page_size, cursor=None):
    start = parse_cursor(cursor) if cursor else 0
    end = start + page_size
    items = all_items[sta…
15 0 Open
API design & gRPC easy

How to Implement a REST DELETE Mock Server Returning 204 in Python

A minimal HTTP server mock that responds to DELETE requests with 204, 404, or 403 statuses based on the resource ID.

http-server rest mock
Python
import json
from http.server import BaseHTTPRequestHandler, HTTPServer

class MockHandler(BaseHTTPRequestHandler):
    def do_DELETE(self):
        if self.path.startswith("/api/resource/"):
            resource_id = self.path.split("/")[-1]
            if resource_id == "42":
                # Successful delete: 204 …
13 0 Open

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Each section groups closely related Python snippets.

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.