Computing dot product
In this exercise, we will learn to compute the dot product between two vectors, A = (1, 3) and B = (-2, 2), using the numpy
library. More specifically, we will use the np.dot()
function to compute the dot product of two numpy arrays.
This exercise is part of the course
Feature Engineering for NLP in Python
Exercise instructions
- Initialize
A
(1,3) andB
(-2,2) asnumpy
arrays usingnp.array()
. - Compute the dot product using
np.dot()
and passingA
andB
as arguments.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Initialize numpy vectors
A = ____.____([____,____])
B = ____.____([____,____])
# Compute dot product
dot_prod = ____.____(____, ____)
# Print dot product
print(dot_prod)