Reference library

Python Code Samples

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

34 matches
Strings & text easy

Extract Email-Like Tokens from Text in Python

Uses a regular expression to find all email-like tokens in a string, returning them as a list with re.findall.

regex email findall
Python
import re

def extract_email_like_tokens(text):
    pattern = r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b'
    return re.findall(pattern, text)

if __name__ == "__main__":
    sample_text = (
        "Contact us at support@example.com or sales@company.co.uk. "
        "Invalid: hello@world, user@.com, test@do…
17 0 Open
Algorithms & data structures medium

How to Detect Hardcoded Secrets in Python Source Code

A Python utility that scans source code for common hardcoded secrets like API keys, passwords, tokens, and AWS credentials using regex patterns.

secrets regex security
Python
import re

def detect_secrets(text):
    """Detect potential hardcoded secrets in source code."""
    patterns = {
        'api_key': r'(?i)(api[_-]?key|apikey)\s*[=:]\s*["\']([^"\']+)["\']',
        'password': r'(?i)(password|passwd)\s*[=:]\s*["\']([^"\']+)["\']',
        'token': r'(?i)(\b(token|secret)\b)\s*[=:]\s…
42 0 Open
Algorithms & data structures medium

How to Evaluate RPN Expressions in Python

Use a stack to evaluate Reverse Polish Notation token lists with a dictionary of operator lambdas, truncating division toward zero.

rpn stack expression
Python
def eval_rpn(tokens):
    stack = []
    ops = {
        '+': lambda a, b: a + b,
        '-': lambda a, b: a - b,
        '*': lambda a, b: a * b,
        '/': lambda a, b: int(a / b)  # truncate toward zero
    }
    for token in tokens:
        if token in ops:
            b = stack.pop()
            a = stack.pop(…
12 0 Open
AI & LLM integration patterns easy

How to Accumulate Streamed Tokens into a Final String in Python

Accumulate a stream of tokens into a single final string by concatenating each token in sequence.

streaming tokens strings
Python
def accumulate_tokens(tokens):
    """Accumulate a stream of tokens into a single final string."""
    result = ""
    for token in tokens:
        result += token
    return result


if __name__ == "__main__":
    token_stream = ["Hello", ", ", "world", "!", " This ", "is ", "accumulated."]
    final_string = accumul…
16 0 Open
AI & LLM integration patterns easy

How to Estimate Token Count in Python

Estimates tokens in a text string using a whitespace and punctuation heuristic without external libraries.

token-count llm heuristic
Python
def estimate_tokens(text: str) -> int:
    """Estimate token count using whitespace and punctuation heuristics."""
    if not text:
        return 0

    words = text.split()
    total_punctuation = sum(1 for char in text if char in ".,!?;:")
    special_tokens = sum(1 for char in text if char in "\n\t")

    # Rough …
12 0 Open
AI & LLM integration patterns easy

How to Stream Tokens from a Mock LLM in Python

Simulate real-time LLM streaming by yielding tokens one at a time with a delay, making it easy to test streaming UIs.

generator llm streaming
Python
import time
from typing import Generator


def stream_tokens(text: str, delay: float = 0.05) -> Generator[str, None, None]:
    """Simulate an LLM streaming tokens word by word."""
    for word in text.split():
        yield word
        time.sleep(delay)


if __name__ == "__main__":
    sample = "Hello world! This is…
15 0 Open
AI & LLM integration patterns easy

How to Truncate Text to a Token Budget in Python

Truncate a string to a maximum token budget for LLM context using the tiktoken library and OpenAI's tokenizer.

tiktoken llm tokens
Python
import tiktoken

def truncate_to_token_budget(text, max_tokens, model="gpt-3.5-turbo"):
    enc = tiktoken.encoding_for_model(model)
    tokens = enc.encode(text)
    if len(tokens) <= max_tokens:
        return text
    truncated_tokens = tokens[:max_tokens]
    return enc.decode(truncated_tokens)

if __name__ == "__…
16 0 Open
AI & LLM integration patterns easy

How to compute ROUGE recall in Python

Compute ROUGE recall by counting token overlap between a reference and candidate summary with pure Python.

rouge nlp evaluation
Python
def rouge_recall(reference, candidate):
    ref_tokens = reference.lower().split()
    cand_tokens = candidate.lower().split()

    ref_counts = {}
    for token in ref_tokens:
        ref_counts[token] = ref_counts.get(token, 0) + 1

    cand_counts = {}
    for token in cand_tokens:
        cand_counts[token] = cand…
12 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
Cloud + Python easy

Generate an Idempotency-Key header mock with UUID in Python

This code provides a mock idempotency service that generates a UUID-based Idempotency-Key header token and validates it, useful for simulating production API behavior in tests.

uuid idempotency mock
Python
import uuid

class MockIdempotencyService:
    def __init__(self):
        self._tokens = {}

    def get_token(self, header_name="Idempotency-Key"):
        token = str(uuid.uuid4())
        self._tokens[header_name] = token
        return token

    def validate(self, header_name="Idempotency-Key"):
        return s…
11 0 Open
Concurrency & performance medium

How to Implement a Token Bucket Rate Limiter with asyncio in Python

This code implements a thread-safe token bucket rate limiter for asyncio, allowing you to limit the rate of async tasks or API calls.

asyncio rate-limiting token-bucket
Python
import asyncio
import time


class TokenBucket:
    def __init__(self, rate_per_second, capacity):
        self.rate = rate_per_second
        self.capacity = capacity
        self.tokens = capacity
        self.last_refill = time.monotonic()
        self.lock = asyncio.Lock()

    async def acquire(self):
        asy…
14 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 medium

How to Mock OAuth2 Bearer Token Auth Middleware in Python

Create a simple OAuth2 bearer token authentication middleware that verifies signed tokens and enforces scope-based access control.

oauth2 security middleware
Python
import hmac
import time
import base64
import json
from functools import wraps

VALID_TOKENS = {"test_token_123": {"user": "alice", "scope": "read:posts"}}


def generate_token(username: str) -> str:
    payload = {"user": username, "iat": int(time.time())}
    encoded = base64.urlsafe_b64encode(json.dumps(payload).enc…
13 0 Open
API design & gRPC easy

How to Validate a JWT Signature in Python with a Mock Secret

Validates a JWT's signature using a mock secret, decoding and handling expired or invalid tokens gracefully.

jwt authentication security
Python
import jwt
import time

SECRET = "mock_secret_key_123"

def validate_token(token):
    try:
        payload = jwt.decode(token, SECRET, algorithms=["HS256"])
        return f"Valid token. Payload: {payload}"
    except jwt.ExpiredSignatureError:
        return "Token expired"
    except jwt.InvalidTokenError:
        …
12 0 Open
Caching & Redis easy

How to implement a token bucket rate limiter in Python

A thread-safe in-memory token bucket rate limiter that tracks per-key tokens with refill logic, including a usage example after a timed refill.

rate-limiting token-bucket threading
Python
import time
import threading

class TokenBucketRateLimiter:
    def __init__(self, capacity, refill_rate):
        self.capacity = capacity
        self.refill_rate = refill_rate
        self.tokens = capacity
        self.last_refill_time = time.time()
        self.lock = threading.Lock()

    def allow_request(self,…
12 0 Open
Caching & Redis medium

Redis Leaky Bucket Rate Limiting Mock in Python

Simulates a Redis-backed leaky bucket rate limiter using a local class with continuous leaking and token capacity checks.

rate-limiting redis algorithms
Python
import time
from collections import deque


class LeakyBucket:
    def __init__(self, capacity, leak_rate):
        self.capacity = capacity
        self.leak_rate = leak_rate
        self.water = 0.0
        self.timestamp = time.time()
        self.history = deque()

    def allow(self):
        current = time.time(…
14 0 Open
Reliability & rate limiting easy

How to Build a Rate Limiter in Python

A beginner-friendly token bucket rate limiter with retry logic for handling API rate limits in Python.

rate-limiting token-bucket retry
Python
import time
import random

class RateLimiter:
    """Simple token bucket rate limiter for beginners."""
    
    def __init__(self, max_tokens=5, refill_rate=1.0):
        self.max_tokens = max_tokens
        self.tokens = max_tokens
        self.refill_rate = refill_rate  # tokens per second
        self.last_refill …
15 0 Open
Reliability & rate limiting medium

How to Implement a Token Bucket Rate Limiter per Client IP in Python

Implements a simple sliding-window rate limiter using a dictionary of timestamp lists per client IP to limit requests per window.

rate-limiting sliding-window ip
Python
from time import time
from collections import defaultdict

class RateLimiter:
    def __init__(self, max_requests: int, window_seconds: int):
        self.max_requests = max_requests
        self.window_seconds = window_seconds
        self.clients = defaultdict(list)

    def allow(self, ip: str) -> bool:
        now…
13 0 Open
Reliability & rate limiting medium

Leaky Bucket Rate Limiter in Python: Smooth Burst Traffic

Implements a token-bucket-style leaky bucket rate limiter that smooths bursty traffic by draining at a fixed rate and dropping excess packets.

rate-limiting traffic-shaping simulation
Python
import time
import random


class LeakyBucket:
    def __init__(self, capacity, drain_rate):
        self.capacity = capacity
        self.drain_rate = drain_rate
        self.water = 0.0
        self.last_time = time.time()

    def allow(self, packet_size=1.0):
        now = time.time()
        elapsed = now - self.…
14 0 Open
Reliability & rate limiting medium

Mock Distributed Rate Limiter with Dict in Python

Simulates a distributed token-bucket rate limiter with a thread-safe dict, useful for testing before moving to Redis.

rate-limiting token-bucket threading
Python
import time
import threading
from collections import defaultdict


class DistributedRateLimiter:
    """
    A mock distributed rate limiter using a dict with thread-safe access.
    Implements a token bucket algorithm per user.
    """

    def __init__(self, rate_per_second=5, burst_capacity=10):
        self.rate_p…
13 0 Open
Reliability & rate limiting medium

Token bucket rate limiter in Python (in-memory)

Implement a thread-safe in-memory token bucket rate limiter that throttles requests based on a steady refill rate.

rate-limiting token-bucket threading
Python
import time
import threading


class TokenBucket:
    def __init__(self, capacity, refill_rate, refill_interval=1.0):
        self.capacity = capacity
        self.tokens = capacity
        self.refill_rate = refill_rate
        self.refill_interval = refill_interval
        self.last_refill = time.monotonic()
       …
14 0 Open
Observability & SRE medium

How to Build a Burn Rate Alert with Multiple Time Windows in Python

Track token consumption and trigger alerts when the burn rate exceeds a threshold across multiple time windows using deque and time-based sliding windows.

burn-rate alerts time-windows
Python
import time
from collections import deque

class BurnRateAlert:
    def __init__(self, windows_seconds=(60, 300, 900), threshold_rate=0.8):
        self.windows = {w: deque() for w in windows_seconds}
        self.threshold_rate = threshold_rate
        self.previous_tokens = None

    def record_sample(self, current_…
16 0 Open
Observability & SRE easy

How to Redact Secrets from Log Messages in Python

Build a lightweight RedactingFormatter class that replaces sensitive tokens like passwords and API keys with [REDACTED] before log messages are printed.

redaction logging secrets
Python
class RedactingFormatter:
    def __init__(self, secrets):
        self.secrets = secrets

    def redact(self, message):
        for secret in self.secrets:
            message = message.replace(secret, "[REDACTED]")
        return message

    def format(self, record):
        message = record["message"]
        ret…
12 0 Open
Microservices patterns easy

How to mock a SPIFFE workload identity in Python

Generate a mock SPIFFE ID and token for a workload using a trust domain, namespace, and service account.

spiffe identity microservices
Python
import hashlib
import json
from dataclasses import dataclass, asdict


@dataclass
class SPIFFEIdentity:
    trust_domain: str
    namespace: str
    service_account: str

    @property
    def id(self) -> str:
        return f"spiffe://{self.trust_domain}/ns/{self.namespace}/sa/{self.service_account}"


def mock_workl…
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

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  3. Run it in the IDE, tweak values, then take a related quiz or tutorial lesson

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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.