from numba import jit
import numpy as np
import random
import numba

@numba.jit
def monte_carlo_pi(nsamples):
    acc = 0
    for i in range(nsamples):
        x = random.random()
        y = random.random()
        if (x**2 + y**2) < 1.0:
            acc += 1
    return 4.0 * acc / nsamples

print(monte_carlo_pi(20))

3.6