To calculate Euclidean distance with NumPy you can use numpy.linalg.norm:
numpy.linalg.norm(x, ord=None, axis=None, keepdims=False):-
It is a function which is able to return one of eight different matrix norms, or one of an infinite number of vector norms, depending on the value of the ord parameter.
You can use the following piece of code to calculate the distance:-
import numpy as np
from numpy import linalg as LA
a = (1, 2, 3)
b = (4, 5, 6)
dist = numpy.linalg.norm(a-b)
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