Terminology: Python and Numpy - `iterable` versus `array_like`

Question

What is the difference between an iterable and an array_like object in Python programs which use Numpy?

Both iterable

Answer 1

While the first part of the Sven's answer is correct, I would like to add that array-like objects should not necessarily be iterable.

For example, in my particular situation I was interested in using numpy.rint() function that accepts array-like objects with scalars of type int. They are not iterable, but they are accepted. You can also pass ints to numpy.array(), so they are array-like.

Here is the confirmation from the "NumPy-Discussion" mailing list: https://mail.scipy.org/pipermail/numpy-discussion/2016-November/076224.html