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Python Code Samples

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

353 matches
System design patterns medium

How to implement stale-while-revalidate caching in Python

A Python cache wrapper that returns a stale cached value with a fallback flag when the upstream fetch fails, using TTL-based freshness checks.

caching ttl resilience
Python
import time
from functools import lru_cache


class CachedService:
    def __init__(self, fetch_func, ttl=5):
        self.fetch_func = fetch_func
        self.ttl = ttl
        self._cache = {}
        self._timestamp = {}

    def get(self, key):
        now = time.time()
        if key in self._cache and now - self…
12 0 Open
System design patterns easy

How to mock the domain center in an onion architecture in Python

Define a repository interface and an in-memory mock to test domain services without touching infrastructure.

onion-architecture repository-pattern dependency-injection
Python
from abc import ABC, abstractmethod
from dataclasses import dataclass
from typing import Dict, List, Optional


@dataclass
class Order:
    id: int
    customer: str
    items: List[str]
    total: float


class OrderRepository(ABC):
    @abstractmethod
    def find_by_id(self, order_id: int) -> Optional[Order]:
     …
13 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 = …
15 0 Open
System design patterns medium

Mock Unit of Work commit and rollback in Python

Verify that a Unit of Work pattern commits on success and rolls back on failure using unittest.mock in Python.

unit-of-work mocking testing
Python
from unittest import mock


class UnitOfWork:
    def __init__(self):
        self.committed = False
        self.rolled_back = False

    def commit(self):
        self.committed = True
        print("Commit executed")

    def rollback(self):
        self.rolled_back = True
        print("Rollback executed")


def b…
14 0 Open
System design patterns medium

Simulate a Leaky Bucket Rate Limiter in Python

This code implements a leaky bucket rate limiter that drains at a fixed rate and accepts or rejects incoming requests based on capacity.

rate limiting leaky bucket simulation
Python
import time
from collections import deque


class LeakyBucket:
    """Simulates a leaky bucket rate limiter with a fixed drain rate."""
    def __init__(self, capacity, drain_rate_per_sec):
        self.capacity = capacity
        self.drain_rate = drain_rate_per_sec
        self.water = 0.0
        self.last_refill =…
13 0 Open
API design & gRPC easy

How to Create an RFC 7807 Error JSON in Python

Construct a structured error response using the RFC 7807 Problem Details format with a reusable function.

rfc7807 json error-handling
Python
import json
from typing import Dict


def create_rfc7807_error(
    type_: str,
    title: str,
    status: int,
    detail: str,
    instance: str,
    extra_fields: Dict[str, object] | None = None,
) -> str:
    """
    Build a JSON string following RFC 7807 Problem Details format.
    """
    problem = {
        "t…
15 0 Open
API design & gRPC easy

How to Implement RBAC Permission Checks with a Route Decorator in Python

Build a reusable Python decorator that checks a user's role against allowed roles and raises a custom PermissionError when access is denied.

decorator rbac permissions
Python
from functools import wraps
from enum import Enum

class Role(Enum):
    ADMIN = "admin"
    MODERATOR = "moderator"
    USER = "user"

class PermissionError(Exception):
    pass

def require_role(*allowed_roles):
    def decorator(func):
        @wraps(func)
        def wrapper(user_role, *args, **kwargs):
          …
14 0 Open
API design & gRPC easy

How to Mock Content-Disposition and Extract Filename in Python

Parse and mock Content-Disposition headers in Python to extract filenames, handling both plain and RFC 5987 encoded values.

http mocking regex
Python
import os
from pathlib import Path
import re
from unittest.mock import patch

def get_filename_from_content_disposition(header_value):
    """
    Extract filename from a Content-Disposition header value.
    Supports both filename and filename* parameters (RFC 5987).
    """
    if not header_value:
        return No…
16 0 Open
API design & gRPC medium

How to Mock X-RateLimit Headers in Python

This code creates a local HTTP server that mimics rate limit headers (X-RateLimit-Limit, Remaining, Reset, Update) and returns 429 responses when the limit is exceeded.

http rate-limit server
Python
import time
import threading
from http.server import BaseHTTPRequestHandler, HTTPServer


class RateLimitHandler(BaseHTTPRequestHandler):
    RATE_LIMIT = 5          # max requests allowed
    WINDOW_SECONDS = 60     # per time window

    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
…
15 0 Open
API design & gRPC easy

How to Validate JWT Claims (exp, iss, aud) in Python

This code demonstrates how to decode and validate a JWT's essential claims—expiration (exp), issuer (iss), and audience (aud)—using the PyJWT library, returning clear error messages for common validation failures.

jwt authentication security
Python
import jwt
from datetime import datetime, timezone, timedelta

SECRET = "mock-secret"

def validate_token(token, expected_iss, expected_aud):
    try:
        decoded = jwt.decode(
            token,
            SECRET,
            algorithms=["HS256"],
            options={"require": ["exp", "iss", "aud"]},
         …
13 0 Open
API design & gRPC medium

How to Validate Request Body JSON Against a Schema in Python

Build a lightweight schema validator to check required fields, types, string lengths, allowed values, and nested objects in a JSON request body.

api-validation json schema-validation
Python
import json


def validate_against_schema(data, schema, path=""):
    errors = []

    if not isinstance(data, dict):
        errors.append(f"{path}: expected object, got {type(data).__name__}")
        return errors

    for field, rules in schema.items():
        field_path = f"{path}.{field}" if path else field

  …
17 0 Open
API design & gRPC easy

Scope-based authorization in Python

A simple Python class that checks user scopes against required permissions for a resource, returning an authorization decision.

authorization scopes oauth
Python
class ScopeAuthorization:
    def __init__(self):
        self.scopes = {
            "read": ["resource:read"],
            "write": ["resource:read", "resource:write"],
            "admin": ["resource:read", "resource:write", "resource:delete"]
        }

    def authorize(self, user_scopes, required_scope, resource…
13 0 Open
API design & gRPC easy

Serve Swagger UI with Python's built-in HTTP server

Hosts a self-contained Swagger UI with a mock OpenAPI spec using only Python's standard library HTTP server.

swagger openapi http-server
Python
from http.server import HTTPServer, SimpleHTTPRequestHandler
import os
import tempfile

SWAGGER_HTML = """<!DOCTYPE html>
<html>
<head>
    <title>Mock Swagger UI</title>
    <link rel="stylesheet" href="https://unpkg.com/swagger-ui-dist@4/swagger-ui.css">
</head>
<body>
    <div id="swagger-ui"></div>
    <script src…
15 0 Open
API design & gRPC medium

Verify Webhook HMAC Signatures in Python

Create and verify HMAC-SHA256 signatures for webhook payloads using Python's hmac module, protecting against tampering.

webhooks hmac security
Python
import hashlib
import hmac
import json

SECRET = b"super-secret-webhook-key"

def create_signature(payload: bytes) -> str:
    return hmac.new(SECRET, payload, hashlib.sha256).hexdigest()

def verify_signature(payload: bytes, signature: str) -> bool:
    expected = create_signature(payload)
    return hmac.compare_dig…
12 0 Open
Streaming & messaging medium

Batch Consume Process Commit Pattern in Python

A mock batch processor that accumulates items in a queue, processes full batches, commits successful or failed results, and flushes remaining items.

streaming batch-processing queues
Python
import random
import threading
import time
from collections import deque


class MockBatchProcessor:
    def __init__(self, process_func, commit_func, batch_size=5):
        self.queue = deque()
        self.batch_size = batch_size
        self.process_func = process_func
        self.commit_func = commit_func

    de…
17 0 Open
Streaming & messaging easy

Dead Letter Queue Failed Messages List Mock in Python

Implements a simple in-memory dead letter queue to collect, list, and retry failed messages, with JSON serialization for inspection in streaming pipelines.

dead-letter-queue messaging retry
Python
import json
from collections import deque


class Message:
    def __init__(self, message_id, payload, attempts=0):
        self.message_id = message_id
        self.payload = payload
        self.attempts = attempts

    def __repr__(self):
        return f"Message(id={self.message_id}, attempts={self.attempts})"


c…
17 0 Open
Streaming & messaging medium

How to Simulate RabbitMQ Exchange Routing in Python

Simulate RabbitMQ exchange routing using a nested dict, matching routing keys against patterns like error.* and info.# to return bound queues.

rabbitmq routing messaging
Python
from collections import defaultdict

def route_message(exchanges, exchange_name, routing_key):
    """
    Simulate RabbitMQ exchange routing using a nested dict structure.
    Returns list of queue names that match the routing key.
    """
    queues = exchanges.get(exchange_name, {})
    matched = []
    
    for pa…
16 0 Open
Streaming & messaging medium

How to mock a CQRS projector read model update in Python

Build a CQRS projector class that maintains denormalized read models by applying domain events in a mock order-processing service.

cqrs projector read-model
Python
from dataclasses import dataclass, field
from typing import Dict, List, Optional


@dataclass
class OrderReadModel:
    order_id: str
    customer_name: str
    total: float
    status: str = "pending"
    items: List[Dict] = field(default_factory=list)

    def apply_event(self, event_type: str, payload: Dict) -> Non…
12 0 Open
Streaming & messaging easy

Using the retained message flag in MQTT with Python

This script subscribes to an MQTT topic and prints the retained flag for each received message, demonstrating how to distinguish retained messages from normal ones.

mqtt paho-mqtt iot
Python
import paho.mqtt.client as mqtt

def on_connect(client, userdata, flags, rc):
    print(f"Connected with result code {rc}")
    # Subscribe to a topic and check retained flag
    client.subscribe("test/retained")
    print("Subscribed to test/retained")

def on_message(client, userdata, msg):
    # msg.retain is the M…
15 0 Open
Caching & Redis medium

How to Validate and Cache Data with Redis in Python

A beginner-friendly helper that validates email, phone, and age data and caches validated entries in Redis for 5 minutes.

redis caching validation
Python
import redis
import json
from functools import wraps

class DataValidator:
    def __init__(self, host="localhost", port=6379, db=0):
        self.cache = redis.Redis(host=host, port=port, db=db)
        self.validators = {
            "email": lambda v: "@" in v and "." in v.split("@")[-1],
            "phone": lambd…
17 0 Open
Caching & Redis easy

How to cache filtered data in Redis with Python

This code caches filtered list results in Redis using an MD5 hash key, returning cached results when available.

redis caching filtering
Python
import redis
import json
import hashlib
import time

cache = redis.Redis(host='localhost', port=6379, db=0, decode_responses=True)

def filter_data(data, predicate_key, predicate_value):
    """Filter a list of dicts by key-value pair, with Redis caching."""
    cache_key = hashlib.md5(
        f"{predicate_key}:{pred…
14 0 Open
Reliability & rate limiting easy

Chaos Inject Random Failures in Python

Simulate random failures in a Python function to test error handling and resilience, using random thresholds and controllable success rates.

chaos-engineering random resilience
Python
import random


def unreliable_function(success_rate: float = 0.7) -> str:
    """Simulate a function that sometimes fails."""
    if random.random() > success_rate:
        raise ConnectionError("Simulated network failure")
    return "Operation completed successfully"


if __name__ == "__main__":
    random.seed(42)…
17 0 Open
Reliability & rate limiting medium

Circuit breaker failure threshold count in Python

Track consecutive or time-windowed failures with a deque to open a circuit breaker and auto-recover to half-open after a cooldown.

circuit-breaker resilience deque
Python
from collections import deque
from time import time, sleep


class CircuitBreaker:
    def __init__(self, failure_threshold: int = 5, recovery_time: float = 10.0):
        self.failure_threshold = failure_threshold
        self.recovery_time = recovery_time
        self.failures: deque[float] = deque()
        self.st…
17 0 Open
Reliability & rate limiting easy

Health Check Mark Unhealthy Stop Traffic Mock in Python

Simulates a health check with a 20% failure rate and automatically stops traffic when the service is unhealthy.

health-check reliability traffic-management
Python
import time
import random

class HealthCheck:
    def __init__(self):
        self.is_healthy = True
        self.stop_traffic = False

    def check_health(self):
        # Simulate health check with random failure rate (20% chance unhealthy)
        self.is_healthy = random.random() > 0.2
        return self.is_heal…
14 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

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  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.