Python multi-process and multi-threaded---(self-learning, persistent update)

First we know that the most obvious difference between a process and a thread is:

In a multi-process environment, each process has its own process data, and the process data is independent of each other. A process can have multiple threads, and multiple threads share the process's data.

#-*-Coding:utf-8-*-

Import OS

From NT Import getpid

Print ("Current ID:%d" %getpid ())

Output

Current id:17452

To create a process:

The creation process, the Linux fork, and the Linux environment under the C Programming fork function, for the parent process, the return is the child process PID, for the child process, the return is 0

From os import *

Print ("Current ID:%d" %getpid ())

PID = Fork()

If PID = = 0:

Print ("I am the child process:%d" %getpid ())

Else

Print ("I am parent process, my pid is%d, child process%d" %getpid (), PID)

Python is a platform-based language, so under Windows, Python's multiprocessing module enables multi-process programming.

Here's a simple example.

From multiprocessing import Process

From NT Import getpid

def my_proc():

Print (' I am the proc, pid(%d) ' %getpid ())

If __name__==' __main__ ':

Print (' Parent process%s. ' %getpid ())

p = Process (Target=my_proc)

Print (' Process would start. ')

P.start ()

P.join ()

Print (' Process end. ')

Python multi-process and multi-threaded---(self-learning, persistent update)