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We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

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Matthew Oct 05, 2024

Dear Packt,I have found an awesome content inside the book. But the quality of the binding I received from the publisher is unacceptable. Its not the first time, i encountered the issue.Pl don’t spoil the journey of reading awesome content just because of your poor quality of presentation.BR,Matthew

Amazon Verified review

Tharnid Jul 28, 2021

About this book:This is a detailed explanation of the Object-Oriented Programming (OOP) using the Python programming language but the concepts translate to other programming languages as well (C#, Java, etc)Who the book is for:This is not a beginner's book on OOP and the reader will need some solid understanding of the OOP concepts (abstraction, classes, encapsulation, inheritance, objects, polymorphism, etc). The concepts in this book transcend Python so it would a great reference for any OOP programmer. There is even a chapter on when to use OOP. It also has a chapter dedicated to where Functional and OOP cross paths in Python which was very interesting as well.ConclusionI enjoyed the depth provided in this book and refreshed my knowledge of OOP. Solid book on OOP. Do yourself a favor and purchase this book for reference at the minimum. Your career will thank you

Carlos Cardona May 04, 2022

Despite its unfortunate initialism, POOP is money well spent. If you already have some experience with python, this book will take you to a next level in Python programming, and teach you along the way some good practices, how to improve readability and some common useful design patterns. Thumbs up!

Amazon Customer Jul 26, 2021

Before I reviewed this book, I was only vaguely aware of the fact that Python had objects - my only experience with object-oriented programming had been in Java and C++. So once I dug into the book, I was surprised to see the depth that Python offers in this domain!The book explains object-oriented design starting from its core concepts, so you don't need any prior background in a language like Java or C++ (though it can help). Furthermore, it shows how these ideas apply to Python, and will help you build your existing Python skillset further. It takes some time to go over the basic data structures of Python while also getting into the complexities of objects in the language. All of this content is supplemented with plenty of Python code examples, which will only help to reinforce what you read in each chapter.This book helped reinforce my understanding of Python, helping me become more familiar with the various features and syntax in the language that I may not have seen before. Additionally, it helped show me how to implement object-oriented design in a different language, which aided my overall comprehension of that programming paradigm. If you have basic experience in Python and wish to explore a different programming paradigm in the language, then this book will be the perfect fit to help you push in the direction of object-oriented programming!

Vlad Bezden Nov 27, 2021

Like all books by Steven F. Lott, this book is no exception. I read all books by Steven, and I always learn something from them. Besides teaching how to write OOP and use it, this book explains how to write OOP code using modern data types like NamedTuple, TypedDict, tuples, etc.As always, I learned excellent tips and techniques on how to write nice tests. There are also very interesting chapters on Concurrency and Design Patterns.My only complaint is the type of examples provided in this book. Examples are complicated, and they are based on machine learning data, sailing data, etc. So to understand an example, sometimes you need to understand the domain knowledge of the example. I wish examples were simpler to get a concept and then maybe provide more complex examples.Steven is not biased to OOP in this book, but he also explains the difference between OOP and functional programming and teaches where OOP would be the best fit.In any way, it's an excellent book, and I learned a lot from it, and I use it as a reference if I need to find an answer to my questions.

Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and libraries , Fourth Edition

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