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Python Code Samples

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

52 matches
Modern tooling easy

How to Mock a pyenv Local Version File in Python

Read and write a mock .python-version file using the pathlib module and tempfile for isolated testing.

pyenv pathlib version-control
Python
import json
import tempfile
from pathlib import Path


def read_pyenv_local(directory: Path) -> str:
    """Read the .python-version file in the given directory."""
    version_file = directory / ".python-version"
    if not version_file.exists():
        return "no-version-file"
    return version_file.read_text().st…
12 0 Open
Modern tooling easy

How to Mock isort Output to Test Import Sorting in Python

Uses isort with check mode and a unittest mock to verify whether a Python source string has correctly sorted imports.

isort import-sorting mock
Python
import isort
from unittest.mock import patch

code = """
import os
import sys
import json
import pathlib
"""

def check_imports_sorted(code_str):
    with patch("isort.api.output") as mock_output:
        isort.code(code_str, check=True, show_diff=True)
        return mock_output.called

if __name__ == "__main__":
   …
10 0 Open
Modern tooling medium

How to Mock subprocess.run for Black Formatter in Python

Use unittest.mock to simulate subprocess.run calls in a Python function that runs the Black formatter, allowing isolated testing without executing external commands.

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

def run_black_formatter(file_path: str, check_only: bool = False) -> dict:
    """Run black formatter on a file via subprocess."""
    cmd = ["black", "--check" if check_only else "-", file_path]
    result = subprocess.run(cmd, capture_output=True, text=True)
 …
15 0 Open
Concurrency & performance medium

How to Use threading.local for Per-Thread Data in Python

Use threading.local to keep thread-specific data — each thread gets its own copy of the attribute, so values don't leak between threads.

threading thread-local concurrency
Python
import threading
import time

local_storage = threading.local()

def worker(name):
    local_storage.name = name
    time.sleep(0.1)
    print(f"Thread {threading.current_thread().name}: {local_storage.name}")

if __name__ == "__main__":
    threads = []
    for i in range(3):
        t = threading.Thread(target=worke…
14 0 Open
Testing & modern typing medium

How to Compare Execution Speed Between Python Functions

Measure and compare the average execution time of multiple Python functions using a reusable benchmark helper with time.perf_counter.

performance benchmarking time
Python
import time
import random

def method_a(values):
    """Sort using built-in sorted."""
    return sorted(values)

def method_b(values):
    """Sort using list's sort method."""
    values_copy = values[:]
    values_copy.sort()
    return values_copy

def method_c(values):
    """Sort manually using bubble sort (slow,…
38 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…
11 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 medium

Use pytest fixture to mock a database connection in Python

This code shows how to use a pytest fixture and unittest.mock to replace a database connection with a Mock, enabling isolated tests without a real database.

pytest fixtures unittest.mock
Python
import pytest
import sqlite3
from unittest.mock import Mock

class Database:
    def __init__(self, connection):
        self.connection = connection

    def get_user(self, user_id):
        cursor = self.connection.cursor()
        cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))
        return cursor.…
19 0 Open
System design patterns easy

How to Implement the Repository Pattern in Python with an In-Memory Dict

Stores, retrieves, updates, and deletes user records in memory using a Repository abstraction over a plain dict, isolating data access from business logic.

repository-pattern design-patterns in-memory
Python
class UserRepository:
    def __init__(self):
        self._storage = {}
        self._next_id = 1

    def create(self, name, email):
        user_id = self._next_id
        self._next_id += 1
        self._storage[user_id] = {"id": user_id, "name": name, "email": email}
        return self._storage[user_id]

    def…
11 0 Open
System design patterns easy

How to Mock Hexagonal Architecture Ports and Adapters in Python

Mock an email adapter in a hexagonal architecture with unittest.mock to test business logic in isolation.

hexagonal-architecture unittest-mock dependency-injection
Python
from unittest.mock import Mock

class EmailService:
    def send(self, recipient, message):
        raise NotImplementedError

class OrderProcessor:
    def __init__(self, email_service):
        self.email_service = email_service
    
    def process_order(self, order_id, customer_email):
        # Business logic
   …
15 0 Open
System design patterns medium

Implement Bulkhead Thread Pool Isolation in Python

Create isolated thread pools with a bulkhead pattern to protect different services from cascading failures.

bulkhead threadpool concurrency
Python
import threading
import time
import random
from concurrent.futures import ThreadPoolExecutor


class Bulkhead:
    """Simple bulkhead isolation: separate thread pools for different tasks."""

    def __init__(self, max_workers):
        self.executor = ThreadPoolExecutor(max_workers=max_workers)
        self.active = …
13 0 Open
API design & gRPC medium

How to Filter Query Parameters by Operator in Python

Parse a URL query string and keep only parameters with allowed comparison operators like eq, gt, and lt.

query-parsing url api
Python
from urllib.parse import urlparse, parse_qs

def filter_operators(query_string, allowed=("eq", "gt", "lt")):
    parsed = urlparse(query_string)
    params = parse_qs(parsed.query)
    filtered = {}
    for key, values in params.items():
        if "__" in key:
            field, op = key.rsplit("__", 1)
            i…
12 0 Open
Caching & Redis easy

How to Implement Namespaced Cache Keys for Tenant Isolation in Python

Build a tenant-aware cache wrapper that prefixes keys with tenant and namespace, and test it with mocks.

cache tenant namespace
Python
from keyvaluestore import SimpleCache
from unittest.mock import patch

class TenantCache(SimpleCache):
    def __init__(self, tenant_id, namespace="default"):
        super().__init__()
        self.tenant_id = tenant_id
        self.namespace = namespace

    def _key(self, key):
        return f"tenant:{self.tenant_…
17 0 Open
Reliability & rate limiting medium

How to Implement a Bulkhead Pattern with Threading in Python

Implement a bulkhead pattern in Python that isolates concurrent tasks with a bounded semaphore, limiting active workers to prevent resource exhaustion.

bulkhead threading semaphore
Python
import threading
import time
import random


class Bulkhead:
    def __init__(self, workers: int):
        self._semaphore = threading.BoundedSemaphore(workers)
        self._lock = threading.Lock()
        self._active = 0

    def run(self, task):
        with self._semaphore:
            with self._lock:
          …
13 0 Open
Reliability & rate limiting medium

How to Send Messages to a Dead Letter Queue in Python

Simulates a poison message queue that retries failed messages up to a limit before moving them to a dead letter queue.

dlq message queue retries
Python
import json

class PoisonMessageQueue:
    def __init__(self, max_retries=3):
        self.dlq = []
        self.max_retries = max_retries
        self.processed_count = 0
        self.failed_count = 0

    def process_message(self, message_body):
        if "poison" in message_body:
            self.failed_count += 1…
15 0 Open
Microservices patterns medium

Bulkhead Thread Pool per Service Mock in Python

Simulates a bulkhead pattern with per-service thread pools and semaphore-based rejection to isolate failures between dependent services.

bulkhead threadpool semaphore
Python
import threading
import time
import random
from concurrent.futures import ThreadPoolExecutor

class ServiceBulkhead:
    def __init__(self, name, max_threads, max_queue):
        self.name = name
        self.executor = ThreadPoolExecutor(max_workers=max_threads)
        self.semaphore = threading.Semaphore(max_thread…
12 0 Open
Big data & Spark medium

Bloom Filter Join Mock in Python

A mock hash join that uses a Bloom filter to pre-filter one table before performing an exact match, reducing the number of comparisons in large dataset joins.

bloom filter join hashing
Python
import hashlib
import random
import string


class BloomFilter:
    def __init__(self, size: int = 200, num_hashes: int = 3):
        self.bits = [False] * size
        self.size = size
        self.num_hashes = num_hashes

    def _hashes(self, item: str):
        result = []
        for seed in range(self.num_hashes…
13 0 Open
ML engineering pipelines easy

Compare Model A vs Model B Metrics in Python

A script that simulates and compares metrics between two ML models, showing a formatted diff table for quick insight.

model comparison mock metrics
Python
import random


def compare_a_b(samples=5):
    """Mock comparison of model A vs model B predictions."""
    metrics = ["accuracy", "precision", "recall", "f1"]
    print(f"{'Metric':<12}{'Model A':>10}{'Model B':>10}{'Diff':>10}")
    print("-" * 42)

    random.seed(42)
    for metric in metrics:
        a = round(r…
14 0 Open
ML engineering pipelines medium

How to Mock ROC AUC in Python

Compute ROC AUC from scratch in Python using pairwise comparisons between positive and negative score distributions, ideal for testing ML models without sklearn.

machine-learning model-evaluation auc
Python
import random
from math import comb


def mock_roc_auc(scores, labels):
    """Compute mock ROC AUC by simulating a classifier's score distribution."""
    random.seed(42)
    n = len(labels)
    pos_scores = [scores[i] for i in range(n) if labels[i] == 1]
    neg_scores = [scores[i] for i in range(n) if labels[i] == …
12 0 Open
A/B testing & experimentation easy

Bonferroni Correction in Python

Applies the Bonferroni correction to a list of p-values to control the family-wise error rate when performing multiple comparisons.

statistics p-values multiple-comparisons
Python
import numpy as np

def bonferroni_correction(p_values, alpha=0.05):
    """Apply Bonferroni correction to a list of p-values."""
    n = len(p_values)
    corrected_alpha = alpha / n
    significant = [p < corrected_alpha for p in p_values]
    return corrected_alpha, significant

if __name__ == "__main__":
    # Moc…
16 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…
12 0 Open
Database scaling & optimization easy

How to Mock Date Sharding by Range in Python

Split a date interval into fixed-size contiguous shards, returning each window as an ISO date string pair.

date datetime sharding
Python
from datetime import date, timedelta

def shard_ranges(start_date, end_date, shard_days=7):
    if start_date > end_date:
        raise ValueError("start_date cannot be after end_date")

    shards = []
    current = start_date
    while current <= end_date:
        shard_end = min(current + timedelta(days=shard_days …
13 0 Open
Database scaling & optimization medium

How to Mock SQLite executemany When Batch Inserting in Python

Batch insert many rows into SQLite with executemany and mock the cursor for isolated tests.

sqlite3 executemany mock
Python
import sqlite3
from unittest.mock import Mock, patch

def insert_users(conn, users):
    """Insert multiple user records using executemany."""
    cursor = conn.cursor()
    cursor.executemany(
        "INSERT INTO users (name, age) VALUES (?, ?)",
        users
    )
    conn.commit()
    return cursor.rowcount

if _…
15 0 Open
Auth & security at scale medium

How to Hash Passwords and Authenticate Users in Python

A beginner-friendly dataclass-based design that hashes passwords with PBKDF2 and verifies them securely using constant-time comparisons.

security password hashing pbkdf2
Python
import hashlib
import hmac
import secrets
from dataclasses import dataclass
from typing import Optional


@dataclass
class User:
    id: int
    username: str
    password_hash: str
    salt: str


def hash_password(password: str) -> tuple[str, str]:
    salt = secrets.token_hex(16)
    password_hash = hashlib.pbkdf2_…
16 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.