Data sharing between python3 process

Interprocess data are independent, by means of a queue or pipeline communicate, both of which are based on message passing 
though between processes data independently, but the data sharing may be achieved through the Manager, the Manager function in fact much more than that

# coding:utf-8
import time
from multiprocessing import Process, Lock, Manager


def work(d, lock):
    with lock:
        d['count'] -= 1

if __name__ == '__main__':
    start_time = time.time()
    lock = Lock()
    with Manager() as m:
        dic = m.dict({"count": 100})
        print(dic)
        p_l = []
        for i in range(100):
            p = Process(target=work, args=(dic, lock))
            p_l.append(p)
            p.start()
        for p in p_l:
            p.join()
        print(dic)
    end_time = time.time()
    print("程序执行的时间:", end_time - start_time)

    s_time = time.time()
    dic2 = {"count": 100}
    p_lst = []
    forI in Range (100 ): 
        P = Process (target = Work, args = (DIC2, Lock)) 
        p_lst.append (P) 
        p.start () 
    for P in p_lst: 
        p.join () 
    e_time = the time.time ( )
     Print (DIC2)
     Print ( " program execution time: " , e_time - S_TIME) 


# { 'COUNT': 100} 
# { 'COUNT': 0} 
# program execution time: 12.078125 
# { 'COUNT': 100} 
# program execution time: 11.375