Element-wise data structure computation time

element_wise_timeit.py

# Please note the results for larger list can be different
import numpy as np

# making a list, a dict, and an array
list_a = list(np.asarray(np.linspace(0,9,10)).astype(int)) # working with int
array_a = np.array(list_a) 
dict_a = {x: x for x in list_a}
 
from operator import add as opadd
%timeit -r5 list_c = list(map(opadd, list_a, list_a))
%timeit -r5 list_cc = [x+y for x,y in zip(list_a,list_a)]
%timeit -r5 array_c = array_a + array_a
%timeit -r5 dict_c = {dict_a[key] + dict_a[key] for key in dict_a.keys()}