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I'd add Pythran to that list. It's a python to cpp compiler for numerical python. It achieves impressive speed ups often with very little adjustment of the numerical code. It's highly undervalued IMO, you get speed similar or better than highly optimized cython or c code with very little or no adjustments.

I compared it to cython, numba and Julia for DSO, which I wrote about here: https://jochenschroeder.com/blog/articles/DSP_with_Python2/




If you have a Python2 codebase, Shedskin also gives excellent speedups for numerical codes, the only thing that didn't see as good of a speed boost was string operations. Although that might be fixed.

https://shedskin.github.io/




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