Any construct which deals with iterators will be prepared for this, like the for loop in our example. When this is run, it correctly stops at the appropriate point. $ python iterator_test.py 463 ...

If we wanted to transpose the axes of this array in Python, we’d need to write a loop of some kind. NumPy allows us to do this kind of operation with a single command: x2 = np.transpose(x1) ...