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The most common scenario for using Cython with NumPy is one where you want to take a NumPy array, iterate over it, and perform computations on each element that can’t be done readily in NumPy.
NumPy provides a specialized array type that is optimized to work with machine-native numerical types such as integers or floats. Arrays can have any number of dimensions, but each array uses a ...
Building Random Arrays. NumPy has a few ways to build random number arrays. These methods are contained in the random library. In particular we will look at random.rand, random.randn, and ...
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