Recently, we need to use Python 3 multithreading to process large data. I have explored the thread model of Python 3 by the way. Here is a brief record.

Advantages of multithreading:

• Threads can be used to process tasks that take a long time in the program in the background.
• The user interface can be more attractive and does not block the operation of the interface;
• The program can run faster.
• Make full use of the multi-core characteristics of CPU for processing;

Kernel thread: created and revoked by the operating system kernel;

User thread: it does not need the kernel to support the thread implemented in the user program;

Multithreading in Python 3:

• _thread provides some original APIs for writing multithreaded programs.
• threading provides a more convenient interface
• Both are Python 3's built-in threading modules

#!/usr/bin/env python

import _thread

def print_time( threadName, delay):
    print (threadName)
    count = 0
    while 1:
        pass
        count += 1

try:
    _thread.start_new_thread( print_time, ("Thread-1", 1, ) )
    _thread.start_new_thread( print_time, ("Thread-2", 2, ) )
    _thread.start_new_thread( print_time, ("Thread-3", 2, ) )
    _thread.start_new_thread( print_time, ("Thread-4", 2, ) )
    _thread.start_new_thread( print_time, ("Thread-5", 2, ) )
    _thread.start_new_thread( print_time, ("Thread-6", 2, ) )
    _thread.start_new_thread( print_time, ("Thread-7", 2, ) )
    _thread.start_new_thread( print_time, ("Thread-8", 2, ) )
    _thread.start_new_thread( print_time, ("Thread-9", 2, ) )
    _thread.start_new_thread( print_time, ("Thread-10", 2, ) )
    _thread.start_new_thread( print_time, ("Thread-11", 2, ) )
    _thread.start_new_thread( print_time, ("Thread-12", 2, ) )
    _thread.start_new_thread( print_time, ("Thread-13", 2, ) )
    _thread.start_new_thread( print_time, ("Thread-14", 2, ) )
    _thread.start_new_thread( print_time, ("Thread-15", 2, ) )

except:
    print ("Error: can't start thread!")

while 1:
    pass