Understanding this code

Question

age = 23
new_age = age
new_age -= 2
age += 2
print(age, new_age)

#What minimal changes in this code do I make for ‘new_age’ and ‘age’ to have the same origin and to print an output of: 23 23

Answer 1

A͢J - S͟o͟l͟o͟H͟e͟l͟p͟e͟r͟ I'm assuming it's an exercise/challenge to practice the difference between deep and shallow copying.

Answer 2

Jenkins

Why are you doing such operation even you can just assign to new_age to get same value

age = 23
new_age = 23

print (age, new_age)

Answer 3

age = [23]
new_age = age
new_age[0] -= 2
age[0] += 2
print(age[0], new_age[0])

Answer 4

I don't know if this counts as minimal:

import numpy as np
age = np.array(23)
new_age = age
new_age -= 2
age += 2
print(age, new_age)