Check for loop Python performance based in this thread https://stackoverflow.com/questions/22108488/are-list-comprehensions-and-functional-functions-faster-than-for-loops

check_loops_performance.py

from functools import reduce
import datetime


def time_it(func, numbers, *args):
    start_t = datetime.datetime.now()
    for i in range(numbers):
        func(args[0])
    print (datetime.datetime.now()-start_t)

def square_sum1(numbers):
    return reduce(lambda sum, next: sum+next**2, numbers, 0)

def square_sum2(numbers):
    a = 0
    for i in numbers:
        a += i**2
    return a

def square_sum3(numbers):
    a = 0
    map(lambda x: a+x**2, numbers)
    return a

def square_sum4(numbers):
    a = 0
    return [a+i**2 for i in numbers]
    
    
print("reduce")
time_it(square_sum1, 100000, [1, 2, 5, 3, 1, 2, 5, 3])
print("for loop")
time_it(square_sum2, 100000, [1, 2, 5, 3, 1, 2, 5, 3])
print("map")
time_it(square_sum3, 100000, [1, 2, 5, 3, 1, 2, 5, 3])
print("list comprehension")
time_it(square_sum4, 100000, [1, 2, 5, 3, 1, 2, 5, 3])

result.txt

reduce
0:00:00.223160
for loop
0:00:00.187482
map
0:00:00.022508
list comprehension
0:00:00.208897