목차 예전 Numba 관련 글 https://data-newbie.tistory.com/390 EX) Montecarlo Method import random from numba import jit @jit(nopython=True) 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 def monte_carlo_pi_no_numba(nsamples): acc = 0 for i in range(nsamples): x = random.random() y = r..

더 빠르게 돌리는 방법 중 하나인 numba에 대한 글에 있는 코드 https://towardsdatascience.com/numba-weapon-of-mass-optimization-43cdeb76c7da Numba: “weapon of mass optimization” Numba is a Python compiler, specifically for numerical functions and allows you to accelerate your applications with high performance… towardsdatascience.com What is Numba? Numba is a compiler that allows you to accelerate Python code (numerical..