Is there a good way of differentiating between row and column vectors in python? So far I\'m using numpy and scipy and what I see so far is that If I was to give one a vecto
row vectors are (1,0) tensor, vectors are (0, 1) tensor. if using v = np.array([[1,2,3]]), v become (0,2) tensor. Sorry, i am confused.