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.

Este exercício faz parte do curso

Feature Engineering for NLP in Python

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Instruções do exercício

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.

Exercício interativo prático

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# Initialize numpy vectors
A = ____.____([____,____])
B = ____.____([____,____])

# Compute dot product
dot_prod = ____.____(____, ____)

# Print dot product
print(dot_prod)

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