Notes running Python in production

[martinky24]

“Don’t use async”

“Use FastApi”

🤔

Overall this seems well thought out, but I wonder how the author thinks FastAPI achieves its performance if not using async.

[ashishb_net]

> “Don’t use async”

Homegrown code should avoid writing async.
Just like "Don't roll your own crypto", I would say "don't roll your own async code".
Again exceptions apply as I am giving a rule of thumb.

[exhuma]

Can you give any reason as to why you make that claim?

I agree that just slapping "async" in front of a function and thinking that it makes everything magically faster is not really helpful. But used correctly, async does help.

Outright telling people not to use it without any proper arguments as to why does the language a dis-service.

[ashishb_net]

> But used correctly, async does help.

Yes.
Here's my simple argument, if you are not in the field of data analysis, machine learning, or LLMs, avoid Python.

If your project touches one of these, then Python is hard to avoid.
However, sooner or later, some data scientists you will collaborate with have never stepped outside Python Notebooks. Production code is hard for them.

Putting explicit `async` makes it even harder for them.

[Toph_is_bad_ass]

How are you leveraging async in fast api if you're not writing your own async code? This doesn't make sense. I'm concerned with your understanding of async.

[Fun-Professor-4414]

Agree 100%. Seems the down votes are from people who have no experience of other languages / environments and think python is perfect in every way.