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Numba exists, which is a vectorizing, optimizing JIT compiler for a subset of Python that uses NumPy. You simply install it and add a decorator.

https://numba.pydata.org

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The problem is that Numba's subset is really limited and often means you have to spend a significant time investment on making your code compatible, often while decreasing readability or doing unnecessary type conversions.

Numba is very cool, but it's inherently limited.

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