Clean Code in Python - Second Edition Free eBook

About this book

Experienced professionals in every field face several instances of disorganization, poor readability, and testability due to unstructured code. This second edition has been updated to reflect new best practices in Python 3.9, helping developers write professional, scalable, and maintainable code. It introduces advanced object-oriented design, decorators, descriptors, and refactoring strategies using SOLID principles. Whether modernizing legacy projects or building new applications, this book provides practical techniques to write cleaner and more efficient Python code using the Python standard library and manage your projects successfully. The book begins by describing the basic elements of writing clean code and how it plays a key role in Python programming. The book discusses object-oriented programming in Python and show you the design principles of software testing and how to resolve problems by implementing software design patterns in your code. In the concluding chapter, we break down a monolithic application into a microservices-based one starting from the code as the basis for a solid platform. By the end of this clean code book, you will be proficient in applying industry-approved coding practices to design clean, sustainable, and readable real-world Python code.

Publication date:: January 2021
Publisher: Packt
Pages: 422
ISBN: 9781800560215
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About the Author

Mariano 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.
Browse publications by this author

This book does have some interesting sections but I wouldn’t recommend it to either new programmers or people with more experience. It jumps between saying phrases like “but we won’t get into that in this book” and then drills down into some other minutia a few pages later. Some of the examples are helpful but others have logical errors or are unnecessarily complicated. Overall, you could find better information on YouTube or Stack Overflow for free. I was hoping this book would be a more cohesive guide than those options but it wasn’t.

I enjoyed this book as this is the sort of information you can only get from an experienced developer. Codecademy cannot teach you these principles. Although I’m a beginner programmer, I was still able to pick up a good amount of clean code techniques from this book (though the books seems to appeal to the intermediate level).

I have a few years of Python under my belt, and I'm definitely learning new things from this book. However, in places, I found the writing to be confusing -- long, unnecessarily bloated sentences with ambiguous pronouns (lots of "it" where it's not always clear to me what "it" is referring to). The book would benefit greatly from rigorous editing. Overall seems worth the effort.

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