python高性能计算：cython入门代码

三种实现的对比：

（1）纯python

x.py

def is_prime(num):
    for j in range(2, num):
        if (num%j)==0:
            return False
    return True




import time

a = time.time()
for i in range(10, 100000):
    is_prime(i)
b = time.time()

print(b-a)

(2) x2.pyx

def is_prime(num):
    for j in range(2, num):
        if (num%j)==0:
            return False
    return True




import time

a = time.time()
for i in range(10, 100000):
    is_prime(i)
b = time.time()

print(b-a)

编译文件：

x2_setup.py

from distutils.core import setup
from Cython.Build import cythonize

setup(
  name = 'Great Circle module v1',
  ext_modules = cythonize("x2.pyx", 
                          #compiler_directives={'language_level' : "3"}
                          # or "2" or "3str"
                          ),
)

编译：

python x2_setup.py build_ext --inplace

(3) x3.pyx

def is_prime(num):
    cdef int j
    for j in range(2, num):
        if (num%j)==0:
            return False
    return True




import time

a = time.time()
for i in range(10, 100000):
    is_prime(i)
b = time.time()

print(b-a)

编译文件：

x3_setup.py

from distutils.core import setup
from Cython.Build import cythonize

setup(
  name = 'Great Circle module v1',
  ext_modules = cythonize("x3.pyx", 
                          #compiler_directives={'language_level' : "3"}
                          # or "2" or "3str"
                          ),
)

编译：

python x3_setup.py build_ext --inplace

运行效果对比：