I have a Numpy array of thousands of values like:
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
and I'd like to reshape the array to be able to vectorize a calculation on segments of the array of fixed-width like this:
[[0, 1, 2, 3],
[1, 2, 3, 4],
[2, 3, 4, 5],
...]
What's the most efficient way to do this?
