Calculate Dot Product of Two Vectors in Numpy for Beginners – Numpy Tutorial

By | September 15, 2019

Dot product of two vectors is defined as:

dot product

In this tutorial, we will write an example to show how to compute dot product of two vectors in numpy.

Preliminaries

import numpy as np

Create two vectors

v1 = np.array([1, 2, 3, 4])
v2 = np.array([2, 3, 4, 5])

Calculate the dot product of this two vector

d = np.dot(v1, v2)

The output is:

40

We shoud use np.dot() function to calculate, however, we can not use * operation

d2 = v1 * v2

The output is:

array([ 2,  6, 12, 20])

which is Hadamard Product of this two vector.

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