Showing posts with label Time Comparison between Python Lists and Numpy Arrays. Show all posts
Showing posts with label Time Comparison between Python Lists and Numpy Arrays. Show all posts

Friday, 6 January 2017

Time Comparison between Python Lists and Numpy Arrays

import numpy as np
from timeit import Timer
size_of_vec = 1000
def pure_python_version():
    X = range(size_of_vec)
    Y = range(size_of_vec)
    Z = []
    for i in range(len(X)):
        Z.append(X[i] + Y[i])
def numpy_version():
    X = np.arange(size_of_vec)
    Y = np.arange(size_of_vec)
    Z = X + Y
#timer_obj = Timer("x = x + 1", "x = 0")
timer_obj1 = Timer("pure_python_version()", "from __main__ import pure_python_version")
timer_obj2 = Timer("numpy_version()", "from __main__ import numpy_version")
print(timer_obj1.timeit(10))
print(timer_obj2.timeit(10))


0.0022348780039465055
6.224898970685899e-05