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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 spawn a process


The term "spawn" means the creation of a process by a parent process. The parent process can of course continue its execution asynchronously or wait until the child process ends its execution. The multiprocessing library of Python allows the spawning of a process through the following steps:

  1. Build the object process.

  2. Call its start() method. This method starts the process's activity.

  3. Call its join()method. It waits until the process has completed its work and exited.

How to do it...

This example shows you how to create a series (five) of processes. Each process is associated with the function foo(i), where i is the ID associated with the process that contains it:

#Spawn a Process: Chapter 3: Process Based Parallelism
import multiprocessing

def foo(i):
    print ('called function in process: %s' %i)
    return

if __name__ == '__main__':
    Process_jobs = []
    for i in range(5):
        p = multiprocessing.Process(target=foo, args=(i,))
        Process_jobs.append(p)...
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