多进程进程间通讯multiprocessing

#!/usr/bin/env python
# Author:Zhangmingda
import queue,threading
from multiprocessing import Process,Queue
def f(q):
    q.put([234,None,‘Hello‘])
if __name__ == ‘__main__‘:
    q = queue.Queue() #使用线程队列运行报错TypeError: can‘t pickle _thread.lock objects
    p = Process(target=f,args=(q,)) #启动一个子进程
    # p = threading.Thread(target=f,) #启动线程直接共享主进程内存
    p.start()
    print(q.get())
    p.join()

C:\Users\Administrator\Desktop\Python3_study\venv\Scripts\python.exe C:/Users/Administrator/Desktop/Python3_study/day10/进程间通信？.py
Traceback (most recent call last):
  File "C:/Users/Administrator/Desktop/Python3_study/day10/进程间通信？.py", line 13, in <module>
    p.start()
  File "C:\Program Files\Python36\lib\multiprocessing\process.py", line 105, in start
    self._popen = self._Popen(self)
  File "C:\Program Files\Python36\lib\multiprocessing\context.py", line 223, in _Popen
    return _default_context.get_context().Process._Popen(process_obj)
  File "C:\Program Files\Python36\lib\multiprocessing\context.py", line 322, in _Popen
    return Popen(process_obj)
  File "C:\Program Files\Python36\lib\multiprocessing\popen_spawn_win32.py", line 65, in __init__
    reduction.dump(process_obj, to_child)
  File "C:\Program Files\Python36\lib\multiprocessing\reduction.py", line 60, in dump
    ForkingPickler(file, protocol).dump(obj)
TypeError: can‘t pickle _thread.lock objects

#!/usr/bin/env python
# Author:Zhangmingda
import queue,threading
from multiprocessing import Process,Queue
def f(q):
    q.put([234,None,‘Hello‘])
if __name__ == ‘__main__‘:
    # q = queue.Queue() #使用线程队列运行报错TypeError: can‘t pickle _thread.lock objects
    q = Queue() #进程队列
    p = Process(target=f,args=(q,)) #启动一个子进程
    # p = threading.Thread(target=f,) #启动线程直接共享主进程内存
    p.start()
    print(q.get())
    p.join()

C:\Users\Administrator\Desktop\Python3_study\venv\Scripts\python.exe C:/Users/Administrator/Desktop/Python3_study/day10/进程间通信？.py
[234, None, ‘Hello‘]

Process finished with exit code 0