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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

PyFunctional

PyFunctional is a library that's worth noting at this point as it follows a similar paradigm to that of reactive programming. It essentially enables us to create functional programs using the Python programming language.

Both functional and reactive programming tend to utilize pure functions that feature no side effects and store no additional state. We define functions that will always return the same results regardless of what else is happening within our programs. The key difference between both PyFunctional and RxPY is the fact that while we handle streams in a very similar fashion in both libraries, the way that this data is handled is somewhat different. RxPY is far more focused on the way that data and subsequently events are handled within systems. PyFunctional is more focused on the transformation of data using functional programming paradigms.

PyFunctional...

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