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It's... faster for IO bound workloads? That's literally the whole point of async

Async programs can do multiple tasks.

Blocking python can’t.

An example is running multiprocesses and parsing their output and looking for patterns. Async python does this sort of thing well.

If you don’t use `async def` and you are using fastapi it’s easy to accidentally block the event loop.

> it’s easy to accidentally block the event loop.

Can you share a scenario where this would happen?

I have deployed multiple machine learning and data analytics-focused web services, and this has never happened to me.

With a for loop? You probably don't know you are, or just aren't doing anything cpu intensive.

Well, you can even block event loop in `async def` if you are not careful. When you are using `async def` you need to do all your IO (disk, network) operations asynchronously or your are blocking the event loop.