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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
Author Profile Icon Tarek Ziadé
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

Summary

Code deployment is not a simple topic and you should already know that after reading this chapter. Extensive discussion of this problem could easily take a few books. Even though we limited our scope exclusively to web application, we have barely scratched the surface. We used the Twelve-Factor App methodology as the basis for showing possible solutions for various problems related to code deployment. We discussed in detail only a few of them: log treatment, managing dependencies, and separating build/run stages.

After reading this chapter, you should know how to start automating your deployment process, taking into consideration best practices, and be able to add proper instrumentation and monitoring for code that is run on your remote hosts.

In the next chapter, we will be learning why writing extensions in C and C++ for Python can sometimes be a good solution and show...

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