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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
Languages
Concepts
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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

Summary

Unfortunately, we've reached the end of our journey learning about the ins and outs of working with concurrency in Python.

Throughout this book, we looked at the fundamental concepts of threads and processes, which has enabled us to work with more advanced concepts such as event-driven programming, reactive programming, and so on.

You should now be adept at the art of designing and building asynchronous systems that handle their workloads in a performant manner. You should also be comfortable with the different ways you can approach problems and why some ways are better than others.

If you have any questions, feel free to reach out to me either on my Twitter handle @elliot_f or through email at elliot@elliotforbes.co.uk. I'm always happy to try and lend a hand, or if you have any comments or feedback on the book, then I'm always happy to hear them!

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