By contrast, we can do the same thing far more efficiently inside NumPy itself: x = np.arange(1000 ... best off using NumPy’s “broadcasting” functions—ways to execute operations across ...

old_array = numpy.arange(100000) new_array = old_array.reshape(10,100,100) This will give you a new 3-D array laid out into a 10x100x100 element cube. Now, let's look at some of the other functions ...