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Clean Code in Python

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

Product type Paperback

Published in Aug 2018

Publisher Packt

ISBN-13 9781788835831

Length 332 pages

Edition 1st Edition

Languages

Python

Concepts

Object Oriented Programming

Author (1):

Anaya

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Table of Contents (12) Chapters

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

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References

Here is a list of information you may refer to:

SRP 01: The Single Responsibility Principle (https://8thlight.com/blog/uncle-bob/2014/05/08/SingleReponsibilityPrinciple.html)
PEP-3119: Introducing Abstract Base Classes (https://www.python.org/dev/peps/pep-3119/)
LISKOV 01: A paper written by Barbara Liskov named Data Abstraction and Hierarchy

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Authors (1)

Anaya

Anaya

Mariano Anaya is a software engineer who spends most of his time creating software with Python and mentoring fellow programmers. Mariano's principal areas of interest besides Python are software architecture, functional programming, distributed systems, and speaking at conferences. He was a speaker at Euro Python 2016 and 2017. To know more about him, you can refer to his GitHub account with the username rmariano. His speakerdeck username is rmariano.

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