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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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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

Designing your systems

Throughout the course of this book, we looked at a multitude of different concepts that each suit different problem sets. In this section of the chapter, we will look at when and where each of these distinct concepts are best used.

You should note that this is mostly advisory; as with everything, there is no silver bullet. What works for one individual may not work for others. If you are designing enterprise systems, then I implore you to perform as much research as is heavenly possible before diving into writing any code.

Some problems will require an eclectic mix of different solutions. Software architecture is an art that requires a great deal of time and effort to become proficient at but it's incredibly rewarding once you have become proficient.

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