What are some performance tips for async programming in Python?
An example of an AI chatbot conversation about performance tips for async programming in Python.
What are some performance tips for async programming in Python?
To improve performance in async Python, consider using asyncio's event loop efficiently, minimizing context switching, and using async libraries.
Can you explain how to minimize context switching?
Minimizing context switching can be achieved by reducing the number of tasks that are scheduled concurrently. Group related tasks together and use await judiciously.
What async libraries do you recommend?
I recommend using libraries like aiohttp for HTTP requests, asyncpg for PostgreSQL, and aiomysql for MySQL. They are optimized for async operations.
How can I measure the performance of my async code?
You can use the time module to measure execution time or use profiling tools like py-spy or asyncio's built-in debugging features.
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