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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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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 define a thread


The simplest way to use a thread is to instantiate it with a target function and then call the start() method to let it begin its work. The Python module threading has the Thread() method that is used to run processes and functions in a different thread:

class threading.Thread(group=None,
                       target=None,
                       name=None,
                       args=(),
                       kwargs={}) 

In the preceding code:

  • group: This is the value of group that should be None; this is reserved for future implementations

  • target: This is the function that is to be executed when you start a thread activity

  • name: This is the name of the thread; by default, a unique name of the form Thread-N is assigned to it

  • args: This is the tuple of arguments that are to be passed to a target

  • kwargs: This is the dictionary of keyword arguments that are to be used for the target function

It is useful to spawn a thread and pass arguments to it that tell it what work...

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Python Parallel Programming Cookbook
Published in: Aug 2015
Publisher:
ISBN-13: 9781785289583
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