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Clean Code in Python

You're reading from   Clean Code in Python Refactor your legacy code base

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781788835831
Length 332 pages
Edition 1st Edition
Languages
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Author (1):
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Mariano Anaya Mariano Anaya
Author Profile Icon Mariano Anaya
Mariano Anaya
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Table of Contents (12) Chapters Close

Preface 1. Introduction, Code Formatting, and Tools FREE CHAPTER 2. Pythonic Code 3. General Traits of Good Code 4. The SOLID Principles 5. Using Decorators to Improve Our Code 6. Getting More Out of Our Objects with Descriptors 7. Using Generators 8. Unit Testing and Refactoring 9. Common Design Patterns 10. Clean Architecture 11. Other Books You May Enjoy

Pythonic Code

In this chapter, we will explore the way ideas are expressed in Python, with its own particularities. If you are familiar with the standard ways of accomplishing some tasks in programming (such as getting the last element of a list, iterating, searching, and so on), or if you come from more traditional programming languages (like C, C++, and Java), then you will find that, in general, Python provides its own mechanism for most common tasks.

In programming, an idiom is a particular way of writing code in order to perform a specific task. It is something common that repeats and follows the same structure every time. Some could even argue and call them a pattern, but be careful because they are not designed patterns (which we will explore later on). The main difference is that design patterns are high-level ideas, independent from the language (sort of), but they do...

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