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Can't you just use Numpy directly in Mojo?
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you can but through a python interpreter in the mojo process so you get the same numpy speed with mojo<->ptyhon interop overhead. NuMojo is native and also is now starting to support features that numpy can't really do like native GPU execution.
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> numpy can't really do like native GPU execution

I'd be interested to see where GPU code beats NUMPY's SIMD implementation, which is really

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> features that numpy can't really do like native GPU execution

we use numpy + jax for that; works well

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I wonder if the Python-to-Mojo overhead is significant enough where language-native bindings make more sense. I'd be interested in seeing some benchmarks.
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