from multiprocessing.dummy import Pool
import numpy as np

SAMPLES = 10**6
RANGE = 200

points = np.linspace(-RANGE, RANGE, RANGE + 1) * 2 * np.pi

print( sum( Pool().imap_unordered(
    lambda r: (np.sin(np.linspace(r[0], r[1], SAMPLES))/SAMPLES).sum(),
    zip(points, points[1:])
)))