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Clean Code in Python

You're reading from Clean Code in Python Develop maintainable and efficient code

Product type Paperback

Published in Jan 2021

Publisher Packt

ISBN-13 9781800560215

Length 422 pages

Edition 2nd Edition

Languages

Python

Concepts

Object Oriented Programming

Author (1):

Anaya

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Table of Contents (13) Chapters

Preface

1. Introduction, Code Formatting, and Tools

2. Pythonic Code FREE CHAPTER

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. Generators, Iterators, and Asynchronous Programming

8. Unit Testing and Refactoring

9. Common Design Patterns

10. Clean Architecture

11. Other Books You May Enjoy

12. Index

References

PEP-8: https://www.python.org/dev/peps/pep-0008/
mypy: http://mypy-lang.org/
pytype: https://google.github.io/pytype/
PEP-3107: https://www.python.org/dev/peps/pep-3107/
PEP-484: https://www.python.org/dev/peps/pep-0484/
PEP-526: https://www.python.org/dev/peps/pep-0526/
PEP-557: https://www.python.org/dev/peps/pep-0557/
PEP-585: https://www.python.org/dev/peps/pep-0585/

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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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