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Why Your Async Code Might Be Slower — and How to Fix It

By Aastha

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Asyncio has become one of Python’s most popular libraries for writing fast, scalable applications. But sometimes, using async can actually make programs slower.This talk explores common asyncio mistakes, how misunderstanding I/O-bound vs. CPU-bound tasks hurts performance, and practical patterns for writing efficient async code.Through real-world examples and live demos, you’ll leave with a clear model for using asyncio effectively.

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