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Expert Python Programming

You're reading from   Expert Python Programming Write professional, efficient and maintainable code in Python

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785886850
Length 536 pages
Edition 2nd Edition
Languages
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Author (1):
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Michał Jaworski Michał Jaworski
Author Profile Icon Michał Jaworski
Michał Jaworski
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Toc

Table of Contents (16) Chapters Close

Preface 1. Current Status of Python FREE CHAPTER 2. Syntax Best Practices – below the Class Level 3. Syntax Best Practices – above the Class Level 4. Choosing Good Names 5. Writing a Package 6. Deploying Code 7. Python Extensions in Other Languages 8. Managing Code 9. Documenting Your Project 10. Test-Driven Development 11. Optimization – General Principles and Profiling Techniques 12. Optimization – Some Powerful Techniques 13. Concurrency 14. Useful Design Patterns Index

Chapter 4. Choosing Good Names

Most of the standard library was built keeping usability in mind. For instance, working with built-in types is done naturally and was designed to be easy to use. Python, in this case, can be compared to the pseudocode you might think about when working on a program. Most of the code can be read out loud. For instance, this snippet should be understandable by anyone:

my_list = []

if 'd' not in my_list:
    my_list.append('d')

This is one of the reasons why writing Python is so easy when compared to other languages. When you are writing a program, the flow of your thoughts is quickly translated into lines of code.

This chapter focuses on the best practices for writing code that is easy to understand and use, through:

  • The usage of naming conventions, described in PEP 8
  • The set of naming best practices
  • The short summary of popular tools that allow you to check for compliance with styling guides
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