Reference library

Caching & Redis

Cache-aside, TTL, invalidation, hot keys, and in-memory lookup patterns at scale.

4 matches
Caching & Redis medium

How to Build a Bloom Filter to Reduce Cache Misses in Python

Implement a probabilistic Bloom filter in Python that lets a cache quickly determine which keys are definitely not present, reducing expensive source lookups on cache misses.

bloom-filter caching probabilistic
Python
import hashlib
import random

class BloomFilter:
    def __init__(self, size=100, num_hashes=3):
        self.size = size
        self.num_hashes = num_hashes
        self.bit_array = [0] * size

    def _hashes(self, item):
        result = []
        for i in range(self.num_hashes):
            hash_value = int(hash…
14 0 Open
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
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…
13 0 Open
Caching & Redis easy

Redis LPUSH RPOP List Queue Mock in Python

Implements a FIFO queue using Redis lists with LPUSH and RPOP commands, simulating task processing in Python.

redis queue fifo
Python
import redis
import time

r = redis.Redis(host='localhost', port=6379, db=0)
queue_key = 'task_queue'

# Push tasks onto the left side (LPUSH)
r.lpush(queue_key, 'task1')
r.lpush(queue_key, 'task2')
r.lpush(queue_key, 'task3')

# Mock processing: pop from the right side (RPOP) — FIFO order
while r.llen(queue_key) > 0:…
13 0 Open

Browse by section

Each section groups closely related Python snippets.

Caching & Redis — Python code examples

What you will find here

This page collects caching & redis snippets — short, copy-ready Python you can paste into our free online IDE and run without installing anything. Each sample includes a plain-English explanation and the full source code.

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.