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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 observed the general concepts about processes and implemented case studies using the multiple processes approach to compute the Fibonacci series terms and the Web crawler in a parallel way.

In the next chapter, we will look at multiple processes using the parallel Python module, which is not a built-in module within Python. We will learn about the concept of inter-process communication and how to use pipes to communicate between processes.

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