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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

Basic reactive programming

Reactive programming is a paradigm that is totally unlike that of your more traditional imperative style of programming. Being aware of the strengths and weaknesses of reactive programming could help you turn software disasters into potential successes.

With reactive programming, we can totally destroy the imperative style and instead focus on representing our data as a stream of events. We can subscribe to these subsequent streams and take action upon receiving these events. This helps us simplify our system's flow that could quickly become very unwieldy and unmaintainable if we were to follow a more traditional architecture and style.

Reactive libraries take away the complexity of us having to push our events to various functions within our systems, and enable us to effectively work with data as queryable, real-time streams. We can essentially...

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