多进程：主要运行multiprocessing模块

import os,timeimport sysfrom multiprocessing import Processclass MyProcess(Process): """docstring for MyProcess""" def __init__(self, arg, callback): super(MyProcess, self).__init__() self.arg = arg self.callback = callback def run(self): self.callback(self.arg)def test(arg): print("子进程{}开始>>> pid={}".format(arg,os.getpid())) for i in range(1,5): sys.stdout.write("子进程{}运行中{}\r".format(arg,i)) sys.stdout.flush() time.sleep(1)def main(): print("主进程开始>>> pid={}".format(os.getpid())) myp=MyProcess(1,test) myp.start() myp2=MyProcess(2,test) myp2.start() myp.join() myp2.join() print("主进程终止")if __name__ == '__main__': main()

线程池：主要运用了未来模块！下面例子，第一个是正常，第二第线程池，第三个用运行了2个线程池，会排队

from concurrent.futures import ThreadPoolExecutorimport timedef sayhello(a): print("hello: "+a) time.sleep(2)def main(): seed=["a","b","c"] start1=time.time() for each in seed: sayhello(each) end1=time.time() print("time1: "+str(end1-start1)) start2=time.time() with ThreadPoolExecutor(3) as executor: for each in seed: executor.submit(sayhello,each) end2=time.time() print("time2: "+str(end2-start2)) start3=time.time() with ThreadPoolExecutor(2) as executor1: executor1.map(sayhello,seed) end3=time.time() print("time3: "+str(end3-start3))if __name__ == '__main__': main()

总结

以上所述是小编给大家介绍的python多进程使用及线程池的使用方法代码详解，希望对大家有所帮助，如果大家有任何疑问请给我留言，小编会及时回复大家的。在此也非常感谢大家对网站的支持！