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Comment by galangalalgol | Hacker News Reader

Python's use base is now dominated by ML and scientific in general isn't it? Both of those communities are relying on extensions completely. I am quite possibly biased as I haven't written any python that didn't use at least numpy.

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> Python's use base is now dominated by ML and scientific in general isn't it?

No?

Python may dominate those fields vs other languages, but those fields don't dominate Python use, in my experience.

If you do a job search for "Django", "flask" or "fastapi" you'll see that there are a lot of web dev jobs using it.

I still use Python for scripting simple things and for writing web services. I use fastapi for simple things, but I will use Django for anything that needs a database because it has the best migration tooling that I have used.

I guess I could have stated my bias up front as well: mostly a scientific user/dev here. I did enable pypy wheel builds for a pybind11 project and have things magically work, and I've had 'pypy-days' to see if there was any breaking for me (none so far, so kudos!), but other than that never actually used it/found uses for it.

Pypy supports numpy just fine.

Not really? It is hideously slow. They say that will get fixed when numpy finishes getting ported to the HPy interface, but for now my stuff runs faster in cpython. I could try using numpypy but they have deprecated it.

Ah, I was thinking about compatibility. Didn’t realize the performance was that bad? Thanks for the warning.

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