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▲ coldtea 4 hours ago

>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 4 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.

▲v3ss0n 35 minutes ago | parent [-]

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.