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Parallel Programming with Python

You're reading from   Parallel Programming with Python Develop efficient parallel systems using the robust Python environment.

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783288397
Length 124 pages
Edition 1st Edition
Languages
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Author (1):
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 Palach Palach
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Palach
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Toc

Table of Contents (10) Chapters Close

Preface 1. Contextualizing Parallel, Concurrent, and Distributed Programming 2. Designing Parallel Algorithms FREE CHAPTER 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 learned some parallel programming concepts, and learned about some models, their advantages, and disadvantages. Some of the problems and potential issues when thinking of parallelism have been presented in a brief explanations. We also had a short introduction to some Python modules, built-in and external, which makes a developer's life easier when building up parallel systems.

In the next chapter, we will be studying some techniques to design parallel algorithms.

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