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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 FREE CHAPTER
2. Current Status of Python 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

This chapter was all about development environments for Python programmers. We've discussed the importance of environment isolation for Python projects. You've learned two different levels of environment isolation (application-level and system-level), and multiple tools that allow you to create them in a consistent and repeatable manner. This chapter ended with a review of a few tools that improve the ways in which you can experiment with Python or debug your programs.

Now that you all of these tools under your tool belt, you are well-prepared for the next few chapters, where we will discuss multiple features of modern Python syntax.

In the next chapter, we will focus on the best practices for writing code in Python (language idioms) and provide a summary of selected elements of Python syntax that may be new for intermediate Python users, or familiar for those...

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