Reference library

Python Code Samples

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

74 matches
Files & data easy

How to Read a File with Retry on Temporary IOError in Python

Read a file with automatic retries on temporary IOError/OSError failures, using the pathlib module with configurable attempts and delay.

file-io retry error-handling
Python
import time
from pathlib import Path

def read_file_with_retry(filepath: str | Path, max_attempts: int = 3, delay: float = 0.5) -> str:
    """Read a file with retries on temporary IO errors."""
    path = Path(filepath)
    last_error = None

    for attempt in range(max_attempts):
        try:
            return pat…
14 0 Open
OOP & classes easy

How to define a custom exception class in Python with an error code attribute

Create a custom exception class with extra attributes like an error code, then raise and catch it in a try/except block.

exceptions classes error-handling
Python
class UserNotFoundError(Exception):
    def __init__(self, user_id, error_code=404):
        self.user_id = user_id
        self.error_code = error_code
        super().__init__(f"User with ID {user_id} was not found (error code: {error_code})")

def find_user(user_id, users_db):
    if user_id not in users_db:
      …
15 0 Open
Algorithms & data structures easy

Find k Closest Points to Origin in Python

Sorts a list of (x, y) point tuples by their Euclidean distance from the origin and returns the k nearest points.

sorting euclidean-distance geometry
Python
import math

def k_closest(points, k):
    points.sort(key=lambda p: math.sqrt(p[0]**2 + p[1]**2))
    return points[:k]

if __name__ == "__main__":
    points = [(1, 2), (3, 4), (-1, 0), (5, 5), (0, 1)]
    k = 3
    result = k_closest(points, k)
    print(f"Original points: {points}")
    print(f"K closest points (k…
13 0 Open
AI & LLM integration patterns medium

How to Retry LLM Calls on Rate Limit Errors in Python

Implement a retry mechanism with exponential backoff for LLM API calls that raises a custom RateLimitError, using a mock function to demonstrate the pattern.

llm retry rate-limit
Python
import time
import random


def mock_llm_call():
    """Simulates an LLM API call that may raise a rate limit error."""
    if random.random() < 0.4:  # 40% chance of rate limit
        raise RateLimitError("Rate limit exceeded. Try again later.")
    return {"response": "Hello world from mock LLM"}


class RateLimitE…
16 0 Open
Automation & scripting medium

Build a Complete Web Scraper with Requests and BeautifulSoup in Python

Scrape multiple paginated pages from a website using Requests and BeautifulSoup, with retry logic, error handling, and CSV export.

web scraping requests beautifulsoup
Python
import requests
from bs4 import BeautifulSoup
import csv
import time
from typing import List, Dict, Optional

class WebScraper:
    def __init__(self, base_url: str, output_file: str = "scraped_data.csv"):
        self.base_url = base_url
        self.output_file = output_file
        self.session = requests.Session()…
99 0 Open
Automation & scripting medium

Generate Holiday Calendars for Different Countries in Python

Generate a sorted list of public holidays for a given country and year using Python's calendar and datetime modules.

calendar datetime holidays
Python
import calendar
from datetime import date, timedelta

def generate_holiday_calendar(country_code, year=2025):
    holidays = []
    
    if country_code == "US":
        # New Year's Day
        holidays.append(date(year, 1, 1))
        # Independence Day
        holidays.append(date(year, 7, 4))
        # Thanksgivin…
39 0 Open
Automation & scripting medium

How to Create a Mock Docker Registry Auth Token Server in Python

Build a mock Docker Registry token authentication server that issues signed JWT-like tokens for push and pull access using Python's standard library.

docker registry jwt
Python
import base64
import hashlib
import hmac
import json
import time
from http.server import BaseHTTPRequestHandler, HTTPServer


class TokenAuthHandler(BaseHTTPRequestHandler):
    """Mock Docker Registry token authentication server."""

    SECRET_KEY = b"mock-secret-key"

    def generate_token(self, username: str, pas…
16 0 Open
Automation & scripting medium

How to check Python files for common coding mistakes

Walks a directory tree parsing each .py file with ast, reporting empty functions, bare try blocks, too many parameters, and empty classes.

ast linting code-quality
Python
import ast
import os
import sys

def check_file(filepath):
    try:
        with open(filepath) as f:
            code = f.read()
        tree = ast.parse(code, filename=filepath)
    except SyntaxError as e:
        print(f"{filepath}: SyntaxError: {e.msg}")
        return
    
    issues = []
    for node in ast.wal…
42 0 Open
Automation & scripting easy

How to generate an htpasswd bcrypt entry in Python

Create a mock htpasswd file entry with a bcrypt-hashed password for a given username using a simple Python script.

bcrypt htpasswd password
Python
import bcrypt

def mock_htpasswd_entry(username, password):
    salt = bcrypt.gensalt(rounds=12)
    hashed = bcrypt.hashpw(password.encode(), salt).decode()
    return f"{username}:{hashed}"

if __name__ == "__main__":
    entry = mock_htpasswd_entry("demo_user", "s3cretP@ss")
    print(entry)
15 0 Open
Data pipelines & processing easy

Count Records Processed per Category in Python

Use a Counter dictionary to track how many records of each type (ok, error, retry) were processed in a data pipeline.

counter metrics data-pipeline
Python
from collections import Counter
import random

processed_counter = Counter()

def process_records(records):
    for record in records:
        processed_counter[record] += 1
    return len(records)

if __name__ == "__main__":
    sample_records = [random.choice(["ok", "error", "retry"]) for _ in range(10)]
    print(f…
15 0 Open
Data pipelines & processing medium

Python Exponential Backoff Retry Example

Retry a flaky function with exponential backoff and jitter-free delays, printing each attempt and finally returning the successful result.

retry backoff exception-handling
Python
import random
import time


def flaky_function():
    if random.random() < 0.6:
        raise ConnectionError("Temporary network error")
    return "success"


def retry_with_exponential_backoff(func, max_retries=5, base_delay=1.0):
    for attempt in range(max_retries + 1):
        try:
            return func()
    …
16 0 Open
Cloud + Python medium

Exponential Backoff with Jitter for Cloud API Calls in Python

A Python snippet demonstrating exponential backoff with jitter for retrying transient cloud API failures, using a simulated client that has a configurable success rate.

retry backoff jitter
Python
import random
import time


def exponential_backoff_with_jitter(retries=5, base_delay=0.5, max_delay=4.0, jitter_factor=0.3):
    for attempt in range(1, retries + 1):
        delay = min(max_delay, base_delay * (2 ** (attempt - 1)))
        jitter = delay * random.uniform(-jitter_factor, jitter_factor)
        effect…
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

How to Implement Retry with Exponential Backoff for Cloud API 429 Errors in Python

Implement a retry-with-backoff loop in Python to handle 429 throttling errors from cloud APIs, using exponential delay between attempts.

retry backoff 429
Python
import time
import random
import requests


def api_call(attempt):
    """Mock cloud API that returns 429 for the first two attempts."""
    if attempt < 2:
        return 429, "Too Many Requests"
    return 200, {"data": "success"}


def retry_with_backoff(api_func, max_retries=3, base_delay=0.1):
    for attempt in …
12 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 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 Poetry pyproject.toml Dependencies Sections in Python

Parse and extract dependency lists from Poetry-style pyproject.toml text using Python's standard library.

pyproject poetry toml
Python
from pathlib import Path
import re


def parse_pyproject_dependencies(text):
    """Extract dependencies from a pyproject.toml style text."""
    lines = text.splitlines()
    sections = {
        "dependencies": [],
        "dev": [],
        "optional": [],
    }
    current_section = None

    patterns = {
        …
15 0 Open
Concurrency & performance easy

How to Run an Async Main with asyncio.run in Python

Show the canonical entry point for an asyncio program: define an async main, then launch it with asyncio.run.

asyncio event loop entry point
Python
import asyncio


async def main():
    print("Hello from async main")
    await asyncio.sleep(0.1)
    print("Done")


if __name__ == "__main__":
    asyncio.run(main())
16 0 Open
System design patterns easy

How to Build a Simple Service Discovery Registry in Python

A lightweight in-memory service registry class using a dict — register, deregister, and discover services with host, port, and version.

service-discovery registry dict
Python
class ServiceRegistry:
    def __init__(self):
        self._services = {}

    def register(self, name, host, port, version="1.0"):
        self._services[name] = {
            "host": host,
            "port": port,
            "version": version
        }

    def deregister(self, name):
        return self._servic…
13 0 Open
System design patterns medium

How to Implement Retry with Exponential Backoff and Jitter in Python

This code demonstrates a retry mechanism with exponential backoff and optional full jitter, using a flaky mock network call for testing.

retry backoff jitter
Python
import random
import time


def retry_with_backoff(func, max_attempts=5, base_delay=0.1, jitter=True):
    """
    Retry a function with exponential backoff and optional full jitter.
    """
    for attempt in range(max_attempts):
        try:
            return func()
        except Exception as e:
            if att…
14 0 Open
System design patterns easy

How to Mock the Ambassador Pattern Retry Client in Python

This code demonstrates the ambassador pattern for API clients by simulating a flaky request and retrying with exponential backoff, useful for testing resilience in system design.

retry ambassador-pattern mock
Python
import time
import random


class RetryingClient:
    """Retry wrapper simulating a flaky ambassador-style API client."""

    def __init__(self, max_attempts=3, base_delay=0.1):
        self.max_attempts = max_attempts
        self.base_delay = base_delay
        self.attempts = 0

    def _flaky_request(self):
     …
15 0 Open
API design & gRPC medium

How to Build a Mock REST GET Endpoint Handler in Python

Create a lightweight mock REST GET server in Python using the standard library, with a dict-based route registry that maps paths to handler functions and returns JSON responses with proper HTTP status codes.

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

# Mock API handler registry
def handle_users():
    return {"status": "ok", "data": [{"id": 1, "name": "Alice"}, {"id": 2, "name": "Bob"}]}

def handle_products():
    return {"status": "ok", "data": [{"id": 101, "name": "Laptop", "price": 999.99}…
14 0 Open
API design & gRPC medium

How to Handle Retry-After Header in Python

Parse the Retry-After header from rate-limited API responses and implement retry logic with proper delays in Python.

retry-after api rate-limiting
Python
```python
import time
from datetime import datetime, timedelta


class RetryAfterHandler:
    def __init__(self, max_retries=3):
        self.max_retries = max_retries

    def get_retry_after_seconds(self, response_headers):
        retry_after_value = response_headers.get("Retry-After")
        if retry_after_value …
14 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…
16 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.