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Daniel Arbuckle???s Mastering Python

You're reading from   Daniel Arbuckle???s Mastering Python Build powerful Python applications

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787283695
Length 274 pages
Edition 1st Edition
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Author (1):
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Daniel Arbuckle Daniel Arbuckle
Author Profile Icon Daniel Arbuckle
Daniel Arbuckle
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Table of Contents (13) Chapters Close

Preface 1. Python Primer 2. Setting Up FREE CHAPTER 3. Making a Package 4. Basic Best Practices 5. Making a Command-Line Utility 6. Parallel Processing 7. Coroutines and Asynchronous I/O 8. Metaprogramming 9. Unit Testing 10. Reactive Programming 11. Microservices 12. Extension Modules and Compiled Code

The concept of reactive programming

There are a lot of different and valid ways that I could define reactive programming. It's a matter of perspective and focus. Which of them is the best definition? We're going to cover several in this section.

Perhaps, the most fundamental definition of reactive programming, at least in terms of what we need to think about to implement a reactive programming system, is that it's a publish/subscribe model of event handling. The following diagram illustrates the basic reactive event handling:

In the traditional nomenclature of reactive programming, there are observables and observers, which encapsulate the behavior of event publishers and event subscribers, respectively. In a reactive programming system, everything, or at least as much as possible, is an observable or an observer. So far, so good, but the publish/subscribe model...

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