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Expert Python Programming

You're reading from   Expert Python Programming Become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7

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Product type Paperback
Published in Apr 2019
Publisher Packt
ISBN-13 9781789808896
Length 646 pages
Edition 3rd Edition
Languages
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Authors (2):
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Michał Jaworski Michał Jaworski
Author Profile Icon Michał Jaworski
Michał Jaworski
Tarek Ziadé Tarek Ziadé
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Tarek Ziadé
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Toc

Table of Contents (25) Chapters Close

Preface 1. Section 1: Before You Start
2. Current Status of Python FREE CHAPTER 3. Modern Python Development Environments 4. Section 2: Python Craftsmanship
5. Modern Syntax Elements - Below the Class Level 6. Modern Syntax Elements - Above the Class Level 7. Elements of Metaprogramming 8. Choosing Good Names 9. Writing a Package 10. Deploying the Code 11. Python Extensions in Other Languages 12. Section 3: Quality over Quantity
13. Managing Code 14. Documenting Your Project 15. Test-Driven Development 16. Section 4: Need for Speed
17. Optimization - Principles and Profiling Techniques 18. Optimization - Some Powerful Techniques 19. Concurrency 20. Section 5: Technical Architecture
21. Event-Driven and Signal Programming 22. Useful Design Patterns 23. reStructuredText Primer 24. Other Books You May Enjoy

Event-driven architectures

From event-driven applications, there is only one minor step to event-driven architectures. Event-driven programming allows you to split your application into isolated components that communicate with each other only by passing events or signals. If you already did this, you should be also able to split your application into separate services that do the same, but transfer events to each other, either through some kind of IPC mechanism or over the network.

Event-driven architectures transfer the concept of event-driven programming to the level of inter-service communication. There are many good reasons for considering such architectures:

  • Scalability and utilization of resources: If your workload can be split into many order-independent events, architectures that are event-driven allow the work to be easily distributed across many computing nodes ...
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