Numba benchmark: list as param (500x vs numpy, without - 4x)

import time
from numba import jit
import numpy

test_iter = 1000000

##@jit(nopython=True)
def jit_calc(a,l,it):

    s = 0
    for i in range(it):
        s += a
        l[i]=s
    return l

def main():

    print 'start'

##    ls = numpy.array(range(test_iter))
    ls = range(test_iter)


    d = jit_calc(1, ls, 1)



    t = time.time()

    l = len(jit_calc(10, ls ,test_iter))

    print time.time() - t

    print l

if __name__ == '__main__':
    main()