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.
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Take it to the next leve

Full disclosure: I got a review copy of this for free.This is a great book for Python programmers who're looking at improving their skills. If you're looking at learning Python, this isn't for you. If you're a intermediate programmer looking to improve your code structing tools, this is a fantastic resource.The book starts with code formatting, meaning of clean code and generous references to PEP and why code formatting, doc strings and style guides are helpful - which is usually not dived into (usually most of them are like - do this, trust us). Also appreciated is a section on type consistency checking with mypy and setting up auto type checks with examples using Makefiles.Along the way, the book focuses on making your code more Pythonic with healthy references to slices, context managers, custom iterable objects, dunder methods , generators, yields and async code.Also notable is an entire chapter dedicated to design principles, unit testing, mocks and some examples on how to start testing with unittest and pytest frameworks. The book ends with couple of chapters dedicated to common design patterns and architecture and you're likely to refer to these chapters quite a lot of times as you implement the techniques in your programs.Overall a great book

Disclaimer: Packt sent me a copy of this book for the purposes of review. I was not paid for this review, nor have they asked me what to say.This is a great book for inexperienced developers looking to get into Python the right way. The author is knowledgable and introduces concepts in a very easy to understand manner. The book is definitely dense, however! I would recommend taking a first pass at this book, but leaving to on the desk as a reference text as you continue to learn.One of the things I really like about this book is that the author really focuses on teaching readers to write Python the way it was meant to be written. "Pythonic" code is one of those things that you need to see to understand what it is, but this book definitely gives a great demonstration of pythonic code. Part of writing Pythonic code is understanding context - and Mariano does a solid job of ensuring readers that there are contexts where practicality is more important than purity.Overall - whether you're new to programming, or you're already a programmer but looking to get into Python - give this book a go, I don't think you'll be disappointed.

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