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

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Exercise instructions

Initialize A (1,3) and B (-2,2) as numpy arrays using np.array().
Compute the dot product using np.dot() and passing A and B 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)

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