1D NumPy StridesUnsolved
Educational Resource: https://cs231n.github.io/python-numpy-tutorial/
Given a 1D Numpy array, your function will return a 2D matrix using strides given the length of the strides and a window length. For example, if we have a window length of 5 and stride length of 3, than we take the first 5 elements of the array, then we skip 3 elements (starting from the beginning) and then take the next 5 elements again.
Your function will return a 2D list after computation of strides on the given input values.
arr: [ 1 2 3 4 5 6 7 8 9 10]
[[1, 2, 3, 4], [3, 4, 5, 6], [5, 6, 7, 8], [7, 8, 9, 10]]
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numpy has been already imported as np (import numpy as np)