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

<Kurs>Feature Engineering for NLP in Python</Kurs>

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Übungsanweisungen

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 praktische Übung

Versuche dich an dieser Übung, indem du diesen Beispielcode vervollständigst.

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

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

# Print dot product
print(dot_prod)

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