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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

Module and package names

The module and package names inform about the purpose of their content. The names are short, in lowercase, and usually without underscores, for example:

  • sqlite
  • postgres
  • sha1

They are often suffixed with lib if they are implementing a protocol, as in the following:

import smtplib 
import urllib 
import telnetlib

When choosing a name for a module, always consider its content and limit the amount of redundancy within the whole namespace, for example:

from widgets.stringwidgets import TextWidget  # bad 
from widgets.strings import TextWidget        # better 

When a module is getting complex and contains a lot of classes, it is a good practice to create a package and split the module's elements into other modules.

The __init__ module can also be used to put back some common APIs at the top level of the package. This approach allows you to organize the...

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