You don't have to wrap the lists in np.array if you use NumPy functions (or if one of the arguments already is a NumPy array, which usually is the case):
from numpy import *
A = [[1, 2], [3, 4]]
x = [[5], [6]]
y = dot(A, x)
That's nice, but only works, as I understand it, if you use numpy-only functions, which means that you should not use those who denote also base-pythonic, eg +,* etc operations, because then they are interpreted differently. Eg `A + x` gives
[[1, 2], [3, 4], [5], [6]]
instead of
array([[ 6, 7],[ 9, 10]])
You have to keep track of the context there to know what you can do and what not I guess, which is not ideal.
