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Python Parallel Programming Cookbook

You're reading from   Python Parallel Programming Cookbook Master efficient parallel programming to build powerful applications using Python

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Product type Paperback
Published in Aug 2015
Publisher
ISBN-13 9781785289583
Length 286 pages
Edition 1st Edition
Languages
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Author (1):
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Giancarlo Zaccone Giancarlo Zaccone
Author Profile Icon Giancarlo Zaccone
Giancarlo Zaccone
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Toc

Table of Contents (8) Chapters Close

Preface 1. Getting Started with Parallel Computing and Python 2. Thread-based Parallelism FREE CHAPTER 3. Process-based Parallelism 4. Asynchronous Programming 5. Distributed Python 6. GPU Programming with Python Index

How to run a process in the background


Running a process in background is a typical mode of execution of laborious processes that do not require your presence or intervention, and this course may be concurrent to the execution of other programs. The Python multiprocessing module allows us, through the daemonic option, to run background processes.

How to do it...

To run a background process, simply follow the given code:

import multiprocessing
import time

def foo():
    name = multiprocessing.current_process().name
    print ("Starting %s \n" %name)
    time.sleep(3)
    print ("Exiting %s \n" %name)
    

if __name__ == '__main__':
    background_process = multiprocessing.Process\
                         (name='background_process',\
                          target=foo)
    background_process.daemon = True

    NO_background_process = multiprocessing.Process\
                           (name='NO_background_process',\
                            target=foo)
    
    NO_background_process.daemon...
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