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▲ graemep 6 hours ago

If you look at the reasons for this it seems like a good decision: https://discuss.python.org/t/pep-836-jit-go-brrr-the-path-to...

There are already many way of addressing Python performance (leaving aside whether Python is a good choice if performance matters) such as Cython, Numba, Pypy and C extensions.

▲cpburns2009 11 minutes ago | parent | next [-]

The problem with PyPy, which I'm a huge fan of BTW, is it's on life-support. The only reason the past couple major versions were released was due to a few small companies or individuals directly implementing the updates themselves. That's my understanding at least. It's disheartening because I've been primarily using PyPy for 5 years, advocated for it, and was looking into contributing more to it before finding out about its state.

▲coldtea 4 hours ago | parent | prev [-]

>There are already many way of addressing Python performance (leaving aside whether Python is a good choice if performance matters) such as Cython, Numba, Pypy and C extensions.

And all of them are lacking in different ways, we ALSO, want faster pure Python.

▲graemep 3 hours ago | parent [-]

They all have drawbacks, but they also reduce the case for needing to speed up CPython.

Pypy does provide faster pure Python. Its a compatible implementation with JIT.