PyPy v7.3.16

I recently had to script reading a large Excel XLSB file. Using pyxlsb it took about two minutes. I found an alternative library with significally better performance - python-calamine, but this one reads all the data to memory consuming GBs of RAM, so was a no starter. Then I tried PyPy and miraculously the same script with pyxlsb takes 15 seconds.

I never really did much with PyPy, do people mostly use it in a deployed application setting? I ask because looking over at the PyPy Speed page...<p><a href="https:&#x2F;&#x2F;speed.pypy.org&#x2F;" rel="nofollow">https:&#x2F;&#x2F;speed.pypy.org&#x2F;</a><p>Looks like Django is insanely faster under PyPy. Feels like a potential waste not to use PyPy on a deployed web app in most cases. I wonder how FastAPI scales with PyPy and other Python interpreters.

Still crazy to me that Python is this popular in all sorts of production uses without a JIT reference implementation.

Is there an overview of the user share of PyPy vs CPython? I have the feeling that PyPy usage became less in the recent years.<p>How well does PyPy work together with frameworks like PyTorch, JAX, TensorFlow, etc? I know there has been some work to support NumPy, but I guess all these other frameworks are much more relevant nowadays.

Does PyPy still release 2.7 because RPython is still based on it?<p>I was recently trying to play with RPython for the first time, and having to remember all the python 2 vs python 3 differences felt strange, and very retro.

Too bad they don&#x27;t compile to wasm. Shouldn&#x27;t be tooo hard.

Why do they have 3.9 and 3.10 is it their policy to have two previous versions for every release?