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Python Code Samples

Medium snippets you can copy, study, and run in the browser editor.

55 matches
Caching & Redis medium

How to Implement Probabilistic Early Expiration in Python

A Python mock of probabilistic early expiration for caches, using a heap-based expiry queue and random eviction to approximate cache stampede protection.

caching expiration heap
Python
import heapq
import random
import time


class ProbabilisticEarlyExpirationMock:
    def __init__(self, capacity=1024, expiration_probability=0.1):
        self.capacity = capacity
        self.expiration_probability = expiration_probability
        self._items = {}
        self._expiry_heap = []
        self._next_id…
14 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
Observability & SRE medium

How to Create a TCP DNS Mock Server in Python

This code creates a mock TCP DNS server that listens on a specified port, accepts probe connections, and returns a fixed DNS response header to simulate a live DNS service for testing and observability.

socket dns tcp
Python
import socket
import threading


def handle_client(client_socket, address):
    print(f"[+] Connection from {address}")
    try:
        while True:
            data = client_socket.recv(1024)
            if not data:
                break
            print(f"[*] Received {len(data)} bytes (TCP DNS probe)")
          …
16 0 Open
Big data & Spark medium

Approximate Distinct Count in Python with HyperLogLog

Mock a large data stream and estimate the number of distinct items with a HyperLogLog-style probabilistic counter to save memory.

hyperloglog distinct-count probabilistic
Python
import random
import string
from collections import Counter
import math

class ApproxCountDistinct:
    def __init__(self, num_buckets=16):
        self.num_buckets = num_buckets
        self.max_zeros = [0] * num_buckets
        
    def _hash(self, item):
        # Simple string hash to a 32-bit integer
        h = …
15 0 Open
Big data & Spark medium

HyperLogLog Cardinality Estimation in Python

A small HyperLogLog implementation using MD5 hashing and 256 registers to estimate the number of unique items in a large stream with fixed memory.

hyperloglog cardinality estimation
Python
import hashlib
import math

class HyperLogLog:
    def __init__(self, b=8):
        self.b = b
        self.m = 1 << b
        self.registers = [0] * self.m
        self.alpha = 0.7213 / (1 + 1.079 / self.m)

    def add(self, item):
        h = int(hashlib.md5(str(item).encode()).hexdigest(), 16)
        idx = h & (s…
14 0 Open
Database scaling & optimization medium

How to Build a Shard Map Mock Dict in Python

Implement a dictionary-like class that distributes keys across multiple shards using Python's hash() for realistic data partitioning.

dict sharding hash
Python
class ShardMap:
    def __init__(self, shard_count):
        self.shards = {i: {} for i in range(shard_count)}
        self.shard_count = shard_count

    def _shard_for(self, key):
        return hash(key) % self.shard_count

    def __getitem__(self, key):
        return self.shards[self._shard_for(key)][key]

    d…
14 0 Open
Auth & security at scale medium

How to Mock a CORS Allow Origin Whitelist in Python

A decorator-based mock of a CORS middleware that whitelists allowed origins and injects proper Access-Control-Allow-Origin headers while rejecting others.

cors security middleware
Python
from functools import wraps


class MockCORSConfig:
    def __init__(self, allowed_origins):
        self.allowed_origins = allowed_origins

    def is_origin_allowed(self, origin):
        return origin in self.allowed_origins


def cors_middleware(config):
    def decorator(handler):
        @wraps(handler)
        …
16 0 Open

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