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Daniel Arbuckle???s Mastering Python

You're reading from   Daniel Arbuckle???s Mastering Python Build powerful Python applications

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787283695
Length 274 pages
Edition 1st Edition
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Author (1):
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Daniel Arbuckle Daniel Arbuckle
Author Profile Icon Daniel Arbuckle
Daniel Arbuckle
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Table of Contents (13) Chapters Close

Preface 1. Python Primer 2. Setting Up FREE CHAPTER 3. Making a Package 4. Basic Best Practices 5. Making a Command-Line Utility 6. Parallel Processing 7. Coroutines and Asynchronous I/O 8. Metaprogramming 9. Unit Testing 10. Reactive Programming 11. Microservices 12. Extension Modules and Compiled Code

Summary

In this chapter, you learned how to use concurrent.futures to make a particularly common multiprocess case extremely simply. We also saw how to use the multiprocessing package to define what worker processes do and how they interact.

So, now we know quite a lot about how to help CPU-bound programs take advantage of multicore and multiprocessor hardware to run faster. Most programs aren't CPU-bound though, they're I/O-bound, which means they spend most of their time waiting for input from various sources. Parallel processing doesn't help in that situation, but asynchronous I/O does, and that's the topic for our next chapter.

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