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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I'd describe myself as a proficient Python programmer but certainly no expert. I primarily use C/C++ but I've used Python for scripting/algorithms before. Fortunately, this book does a good job of teaching concepts in Python for both new and old users, as well as strong code design for any language.The book starts with a general introduction to good coding practices, then goes over the main features of Python before diving into how these coding practices apply to Python. The book shows lots of clear code examples and visualizations throughout its chapters. I think it does a really great job in getting the reader to think critically about code design, both in the abstract and in concrete implementation with Python.I was introduced to a lot of different terminology and features of Python; I intend to use the book both as a reference and as a launchpad for further self-learning. Definitely recommend if you want to strengthen your Python and code design skills!

Which is unforgiveable; at this stage I've not read much of the book (because of the lack of contents/index, at least in part). Three stars assumes that the _content_ is worth 5 stars. I will update later if I manage to find relevant content.In advance of carping comments - I think it very arrogant of an author to assume that you will read a non-fiction book from start to finish, which is what I assume is the reason for a lack of contents. A lack of index assumes something else - perhaps that you have eidetic memory?

Just a point of information, to correct someone's earlier complaint. I bought the Kindle edition just now and it has a detailed table of contents that links you directly to the relevant sections, as well as a pretty detailed-looking index too.I almost didn't buy the Kindle edition, on account of the misleading review. So, maybe the review applied to an earlier edition (quite possible), in which case it should not appear for this edition.Dear readers, feel free to get the Kindle version. It's fine.

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