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Parallel Programming with Python

You're reading from  Parallel Programming with Python

Product type Book
Published in Jun 2014
Publisher
ISBN-13 9781783288397
Pages 124 pages
Edition 1st Edition
Languages

Table of Contents (16) Chapters

Parallel Programming with Python
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Contextualizing Parallel, Concurrent, and Distributed Programming Designing Parallel Algorithms Identifying a Parallelizable Problem Using the threading and concurrent.futures Modules Using Multiprocessing and ProcessPoolExecutor Utilizing Parallel Python Distributing Tasks with Celery Doing Things Asynchronously Index

Summary


We studied the use of a low-level resource to establish communication among processes with no relation between them. Further, we have taken a look at using the PP module, which helps us abstract the communication among the local processes, including distributed processes. PP is a convenient tool for building simple, small, parallel, and distributed Python applications.

In the next chapter, we will learn how to use a module called Celery for the execution of tasks in a parallel and distributed way.

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