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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

Libraries not covered in this book

As a disclaimer, there have been a number of different libraries that I researched while writing this book. However, due to concerns of brevity, I've had to cap the number of libraries that I could cover within each chapter.

It would be remiss of me to not present to you some of the excellent resources currently available that present far more in-depth coverage of some of the topics I've unfortunately not been able to expand upon. I also feel that it's worthwhile knowing what further material is available that will continue to expand your knowledge of software engineering with Python.

GPU

The GPU presents one of the topics that I feel I could not cover in detail within this...

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