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Functions for Creating NumPy Arrays - Python Like You Mean It

np.arange(0, 10, 1) # start (included): 0, stop (excluded): 10, step:1 array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) # supplying one value to `arange` amounts to ...

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