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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
Concepts

Table of Contents (16) Chapters

Parallel Programming with Python
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Contextualizing Parallel, Concurrent, and Distributed Programming 2. Designing Parallel Algorithms 3. Identifying a Parallelizable Problem 4. Using the threading and concurrent.futures Modules 5. Using Multiprocessing and ProcessPoolExecutor 6. Utilizing Parallel Python 7. Distributing Tasks with Celery 8. Doing Things Asynchronously Index

Summary

In this chapter, we discussed some ways to create parallel solutions. Your focus should be on the importance of dividing the processing load among different workers, considering the location and not the data.

In the next chapter, we will study how to identify a parallelizable problem.

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