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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 use a process in a subclass


To implement a custom subclass and process, we must:

  • Define a new subclass of the Process class

  • Override the _init__(self [,args]) method to add additional arguments

  • Override the run(self [,args]) method to implement what Process should when it is started

Once you have created the new Process subclass, you can create an instance of it and then start by invoking the start() method, which will in turn call the run() method.

How to do it...

We will rewrite the first example in this manner:

#Using a process in a subclass Chapter 3: Process Based #Parallelism

import multiprocessing

class MyProcess(multiprocessing.Process):
    def run(self):
        print ('called run method in process: %s' %self.name)
        return

if __name__ == '__main__':
    jobs = []
    for i in range(5):
        p = MyProcess ()
        jobs.append(p)
        p.start()
        p.join()

To run the script from the Command Prompt, type the following command:

python subclass_process.py

The result...

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