In [1]:

    

from random import random
list_1 = [random() for _ in range(1000000)]
list_2 = [random() for _ in range(1000000)]


    

In [2]:

    

out = [x + y for (x, y) in zip(list_1, list_2)]
out[:3]


    

    
Out[2]:





[0.843375384328939, 1.507485612134079, 1.4119777108063973]

In [3]:

    

%timeit [x + y for (x, y) in zip(list_1, list_2)]


    

    
Out[3]:





10 loops, best of 3: 69.7 ms per loop

In [4]:

    

import numpy as np
arr_1 = np.array(list_1)
arr_2 = np.array(list_2)


    

In [5]:

    

type(list_1), type(arr_1)


    

    
Out[5]:





(list, numpy.ndarray)

In [6]:

    

arr_1.shape


    

    
Out[6]:





(1000000,)

In [7]:

    

arr_1.dtype


    

    
Out[7]:





dtype('float64')

In [8]:

    

sum_arr = arr_1 + arr_2
sum_arr[:3]


    

    
Out[8]:





array([ 0.84337538,  1.50748561,  1.41197771])

In [9]:

    

%timeit arr_1 + arr_2


    

    
Out[9]:





1000 loops, best of 3: 1.57 ms per loop