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

SF Python via YouTube

Overview

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Explore common asyncio pitfalls and performance issues in this 20-minute conference talk from PyBay 2025. Learn why asynchronous code sometimes performs worse than expected and discover the fundamental differences between I/O-bound and CPU-bound tasks that impact performance. Examine real-world examples and live demonstrations that illustrate common mistakes developers make when implementing asyncio in Python applications. Master practical patterns and techniques for writing efficient asynchronous code that truly delivers the scalability and speed benefits asyncio promises. Gain a clear mental model for when and how to use asyncio effectively in your Python projects, ensuring your async implementations actually improve rather than hinder performance.

Syllabus

Why Your Async Code Might Be Slower and How to Fix It — Aastha (PyBay 2025)

Taught by

SF Python

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