Numpy vs regular array in python

Question

This might be a beginner question but

when I run this code

[[0.] for i in range(num_features)]

I get [[0.],[0.]]

When I run this code

np.zeros((2, 1))

I get

[[0.],

 [0.]]

As in two separate lines

Is there a significant difference between the two? If so, what's the right way to write the first bit of code?

Answer 1

First list is a regular list comprehension, second is a numpy array, it is TOTALLY different, here is the numpy documentation:

http://www.numpy.org/

So actually second one could be a list like the first one:

>>> np.zeros((2, 1)).tolist()
[[0.0], [0.0]]
>>>