在python中Process比Thread更穩定，且Process能分布到多臺機器，而Thread只能分布到同一臺機器的多個CPU。

Python的multiprocessing模塊不但支持多進程，其中managers子模塊還支持把多進程分布到多臺機器上。

task_master.py

# coding:utf-8

import random,time,queue
from multiprocessing.managers import BaseManager

#發送任務的隊列
task_queue = queue.Queue()
#接收任務的隊列
result_queue = queue.Queue()

#把兩個任務隊列在網絡上注冊
BaseManager.register('get_task_queue',callable=lambda: task_queue)
BaseManager.register('get_result_queue',callable=lambda: result_queue)

#綁定端口5000，設置驗證碼：8e8b55261098a425273f31a
manager = BaseManager(address=('',5000),authkey=b'8e8b55261098a425273f31a')
#啟動隊列
manager.start()
# 獲取通過網絡訪問的queue對象：
task = manager.get_task_queue()
result = manager.get_result_queue()

begintime = time.time()
for i in range(50):
    r = random.randint(10001,99999)
    print("Put task %d ..." % r)
    task.put(r)
for i in range(50):
    r = result.get(timeout=10)
    print("Result is %s" % r)

manager.shutdown()
print("master exit.")
endtime = time.time()
print('用時：%0.5f' %(endtime-begintime))

task_worker.py

#task_worker.py
#coding:utf-8
import time,sys,queue
from multiprocessing.managers import BaseManager

#獲取網絡中的Queue,并注冊
BaseManager.register('get_task_queue')
BaseManager.register('get_result_queue')

#連接到manager.py所在機器 server_addr 為遠程master服務器的ip地址
server_addr = '127.0.0.1'
print("Connecting to server %s" % server_addr)
m = BaseManager(address=(server_addr,5000),authkey=b'8e8b55261098a425273f31a')
m.connect()

#獲取Queue對象
task = m.get_task_queue()
result = m.get_result_queue()

#從task中獲取任務，并把結果寫入result隊列

for i in range(50):
    try:
        n = task.get(timeout=2)
        print('run task %d * %d' %(n,n))
        r = '%d * %d = %d ' % (n, n, n*n)
        time.sleep(1)
        result.put(r)
    except queue.Empty:
        print('Task queue is empty')
#處理結束
print('Worker exit .')