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.

Diese Übung ist Teil des Kurses

Feature Engineering for NLP in Python

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Anleitung zur Übung

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.

Interaktive Übung

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

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

# Print dot product
print(dot_prod)

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