Use Cython to accelerate array iteration in NumPy

NumPy is known for being fast, but could it go even faster? Here's how to use Cython to accelerate array iterations in NumPy.

NumPy gives Python users a wickedly fast library for working with data in matrixes. If you want, for instance, to generate a matrix populated with random numbers, you can do that in a fraction of the time it would take in conventional Python.

Still, there are times when even NumPy by itself isn't fast enough. If you …

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