python 令人尴尬的并行问题的进程/线程池

Posted 2021-05-09

from multiprocessing import Pool

pool = Pool(4)
results = pool.map(urllib2.urlopen, urls)
pool.close() 
pool.join() 


# if you want threads instead of processes
from multiprocessing.dummy import Pool