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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This is an excellent book and I recommend this to anyone who wants a clear exposition on how to effectively code at a professional level. It is very detailed but unlike other books that show mostly code, the authors present a few lines or a paragraph of code and extensively discuss the merits. Why some coders do it and why it is better to do it another way. I think this is especially useful for people who want to master Python coding at a professional level and be able to take pride in their work product.

A very good book for writing clean code in python. It is a must buy for python developers.

I started writing code in 1982. Despite 40 years of coding I found so many examples of good advice in this book. It is all too easy as a programmer to write sloppy code. Code that has a poor structure, poorly documented and unbelievably hard to maintain, even by yourself. Sometimes a tight deadline persuades you that if it works, it's fine. In this book you learn that in the end clean code is best for everybody. You'll learn techniques to ensure you can pass your code on to another developer with your head held high. If you're in the business for the long run, then you owe it to yourself to read this book.In case you don't know what technical debt is - it's the implied cost of additional reworking of code caused by choosing a fast solution now instead of using a better approach that would take longer initially but provides more maintainable code.

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