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Learning Concurrency in Python

You're reading from   Learning Concurrency in Python Build highly efficient, robust, and concurrent applications

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781787285378
Length 360 pages
Edition 1st Edition
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Author (1):
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Elliot Forbes Elliot Forbes
Author Profile Icon Elliot Forbes
Elliot Forbes
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Table of Contents (13) Chapters Close

Preface 1. Speed It Up! FREE CHAPTER 2. Parallelize It 3. Life of a Thread 4. Synchronization between Threads 5. Communication between Threads 6. Debug and Benchmark 7. Executors and Pools 8. Multiprocessing 9. Event-Driven Programming 10. Reactive Programming 11. Using the GPU 12. Choosing a Solution

Choosing a Solution

In this final chapter, we'll look very briefly at some of the libraries that I have unfortunately been unable to cover in this book. These will be cursory glances to merely let you know that there are alternatives on the market. I'm leaving the onus on you to research on these libraries and get up and running with them if you desire.

We'll also look briefly at the process you should follow in order to effectively choose what libraries and what programming paradigms you leverage for your Python software projects. We'll also cover some of the books and learning resources out there that can aid you in your learning.

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