Hands on the Python module numba

from __future__ import division
import time
import random

data = []
data_length = 100000
ma_length = 500
test_times = 10

for i in range(data_length):
    data.append(random.randint(1, 100))

import numba


@numba.jit
def ma_numba(data, ma_length):
    ma = []
    data_window = data[:ma_length]
    test_data = data[ma_length:]

    for new_tick in test_data:
        data_window.pop(0)
        data_window.append(new_tick)
        sum_tick = 0
        for tick in data_window:
            sum_tick += tick
        ma.append(sum_tick / ma_length)

    return ma


start = time.time()

for i in range(test_times):
    result = ma_numba(data, ma_length)

time_per_test = (time.time() - start) / test_times
time_per_point = time_per_test / (data_length - ma_length)

print("time_per_test：%sS" % time_per_test)
print("time_per_point：%sMS" % (time_per_point * 1000000))