Python 多进程练习

 1 import multiprocessing
 2 import os
 3 import time
 4 
 5 
 6 def get_html(n):
 7     time.sleep(n)
 8     print('sub_progress success')
 9     return n
10 
11 
12 if __name__ == '__main__':
13     # progress = multiprocessing.Process(target=get_html,args=(2,))
14     # progress.start()
15     # progress.join()
16     # print('main progress end')
17 
18 
19     pool = multiprocessing.Pool(multiprocessing.cpu_count())
20     result = pool.apply_async(get_html, args=(3,))
21 
22     #等待所有任务完成
23     pool.close()
24     pool.join()
25     print(result.get())
26 import time
27 from concurrent.futures import ThreadPoolExecutor, as_completed
28 from concurrent.futures import ProcessPoolExecutor
29 
30 def fib(n):
31     if n<=2:
32         return 1
33     return fib(n-1)+fib(n-2)
34 
35 
36 with ProcessPoolExecutor(3) as executor:
37     all_task = [executor.submit(fib,num) for num in range(25,35)]
38     start_time = time.time()
39     for future in as_completed(all_task):
40         data = future.result()
41         print('get {} page'.format(data))
42 
43     print('last time is:{}'.format(time.time()-start_time))