使用cython库对python代码进行动态编译达到加速效果

# coding:utf-8
import matplotlib.pyplot as plt
import numpy as np
from sklearn.cluster import KMeans

def km():
    return KMeans(n_clusters=4)

def fib(n):
    if n<2:
        return 1
    else:
        return fib(n-1)+fib(n-2)

def plots():
    x  = np.linspace(-2,2,30)
    y = np.sin(x)
    plt.plot(x,y)
    plt.show()

from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext

setup(
    cmdclass={‘build_ext‘: build_ext},
    ext_modules=[Extension("myfib", ["fib.pyx"])]
)

# coding=utf-8
# 把python代码编译成动态文件
# python fib_setup.py build_ext --inplace

import myfib
import time

t = time.time()
myfib.fib(37)
print(time.time() - t)

print(myfib.km())