线程池,进程池

```python

import concurrent.futures

import urllib.request

URLS = ['http://www.foxnews.com/',

        'http://www.cnn.com/',

        'http://europe.wsj.com/',

        'http://www.bbc.co.uk/',

        'http://some-made-up-domain.com/']

# Retrieve a single page and report the URL and contents

def load_url(url, timeout):

    with urllib.request.urlopen(url, timeout=timeout) as conn:

        return conn.read()

# We can use a with statement to ensure threads are cleaned up promptly

with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor:

    # Start the load operations and mark each future with its URL

    future_to_url = {executor.submit(load_url, url, 60): url for url in URLS}

    for future in concurrent.futures.as_completed(future_to_url):

        url = future_to_url[future]

        try:

            data = future.result()

        except Exception as exc:

            print('%r generated an exception: %s' % (url, exc))

        else:

            print('%r page is %d bytes' % (url, len(data)))

```

```python

import concurrent.futures

import math

PRIMES = [

    112272535095293,

    112582705942171,

    112272535095293,

    115280095190773,

    115797848077099,

    1099726899285419]

def is_prime(n):

    if n % 2 == 0:

        return False

    sqrt_n = int(math.floor(math.sqrt(n)))

    for i in range(3, sqrt_n + 1, 2):

        if n % i == 0:

            return False

    return True

def main():

    with concurrent.futures.ProcessPoolExecutor() as executor:

        for number, prime in zip(PRIMES, executor.map(is_prime, PRIMES)):

            print('%d is prime: %s' % (number, prime))

if __name__ == '__main__':

```