How can I improve the performance of my async Python code?
An example of an AI chatbot conversation about optimizing async Python code for better performance.
How can I improve the performance of my async Python code?
You can improve performance by using efficient libraries like asyncio, optimizing I/O operations, and minimizing context switching.
What are some common pitfalls to avoid when using async in Python?
Common pitfalls include blocking the event loop, not using await properly, and overusing threads instead of async functions.
Can you recommend some libraries that work well with async Python?
Sure! Libraries like aiohttp for HTTP requests, asyncpg for PostgreSQL, and FastAPI for building APIs are great choices.
How do I measure the performance of my async code?
You can use profiling tools like cProfile or asyncio's built-in debugging features to measure performance.
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