The following is the DQ answer for finding the dot product of
vector_one = np.asarray([ , ,  ], dtype=np.float32) vector_two = np.asarray([ , ,  ], dtype=np.float32) dot_product = np.dot(vector_one[:,0], vector_two) print(dot_product)
Would it be ok to pass
vector_one.T into the function instead of
vector_one[:,0]? This just strikes me as easier so I am wondering if something is wrong with this method?
Is there any other reason for using
vector_one[:,0] besides transposing it into a 1x3 matrix?
I’m having a little trouble following it.
Thank you for your time!