Python Redis: Caching and Fast Data Structures

Short summary

A practical tutorial covering Redis integration with Python's asyncio using redis-py and the hiredis C parser for faster protocol handling. Demonstrates cache-aside patterns, atomic counters, session storage with hashes, sorted-set leaderboards, and list-based task queues with blocking dequeue. Each pattern includes complete async code examples with TTL management and error handling.

• •Cache-aside pattern with async redis-py: check cache, query DB on miss, write back with TTL
• •Covers sessions (hashes), leaderboards (sorted sets), and task queues (lists with BRPOP)
• •Recommends hiredis C parser for 2-5x faster protocol parsing

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