>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.
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.
The newest version of python that PyPy supports is 3.12. CPython is on 3.15.
And from what I understand there are limitations with using libraries that use the CPython API to interface with native code.
Onlything is a lot of cextensions are super slow there. that is only bottleneck left which could be solved with resources that those guys spent on experimental jit.