Python Math: Compute Euclidean distance

Python Math: Exercise-79 with Solution

Write a Python program to compute Euclidean distance.

Note: In mathematics, the Euclidean distance or Euclidean metric is the "ordinary" (i.e. straight-line) distance between two points in Euclidean space. With this distance, Euclidean space becomes a metric space. The associated norm is called the Euclidean norm.

Sample Solution:-

Python Code:

import math
# Example points in 3-dimensional space...
x = (5, 6, 7)
y = (8, 9, 9)
distance = math.sqrt(sum([(a - b) ** 2 for a, b in zip(x, y)]))
print("Euclidean distance from x to y: ",distance)

Sample Output:

Euclidean distance from x to y:  4.69041575982343 


Flowchart: Compute Euclidean distance

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Python: Tips of the Day

Lambdas for Sorting:

>>> students = [{'name': 'John', 'score': 98}, {'name': 'Mike', 'score': 94}, {'name': 'Jennifer', 'score': 99}]
>>> sorted(students, key=lambda x: x['score'])
[{'name': 'Mike', 'score': 94}, {'name': 'John', 'score': 98}, {'name': 'Jennifer', 'score': 99}]