OReilly for Higher Education (Firm) - Python 3 Object-Oriented Programming - Third Edition

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First published: July 2010
Second edition: August 2015
Third edition: October 2018

Production reference: 2051118

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Dusty Phillips is a Canadian software developer and author currently living in New Brunswick. He has been active in the open source community for two decades and has been programming in Python for nearly as long. He holds a master's degree in computer science and has worked for Facebook, the United Nations, and several start-ups. He's currently researching privacy-preserving technology at beanstalk.network.

Python 3 Object-Oriented Programming was his first book. He has also written Creating Apps in Kivy, and self-published Hacking Happy, a journey to mental wellness for the technically inclined. A work of fiction is coming as well, so stay tuned!

Yogendra Sharma is a developer with experience of the architecture, design, and development of scalable and distributed applications. He was awarded a bachelor's degree from Rajasthan Technical University in computer science. With a core interest in microservices and Spring, he also has hands-on experience technologies such as AWS Cloud, Python, J2EE, Node.js, JavaScript, Angular, MongoDB, and Docker. Currently, he works as an IoT and cloud architect at Intelizign Engineering Services, Pune.

Josh Smith has been coding professionally in Python, JavaScript, and C# for over 5 years, but has loved programming since learning Pascal over 20 years ago. Python is his default language for personal and professional projects. He believes code should be simple, goal-oriented, and maintainable. Josh works in data automation and lives in St. Louis, Missouri, with his wife and two children.

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This book introduces the terminology of the object-oriented paradigm. It focuses on object-oriented design with step-by-step examples. It guides us from simple inheritance, one of the most useful tools in the object-oriented programmer's toolbox, through exception handling to design patterns, an object-oriented way of looking at object-oriented concepts.

Along the way, we'll learn how to integrate the object-oriented and the not-so-object-oriented aspects of the Python programming language. We will learn the complexities of string and file manipulation, emphasizing the difference between binary and textual data.

We'll then cover the joys of unit testing, using not one, but two unit testing frameworks. Finally, we'll explore, through Python's various concurrency paradigms, how to make objects work well together at the same time.

Each chapter includes relevant examples and a case study that collects the chapter's contents into a working (if not complete) program.

This book specifically targets people who are new to object-oriented programming. It assumes you have basic Python skills. You'll learn object-oriented principles in depth. It is particularly useful f or system administrators who h ave used Python as a glue language and would like to improve their programming skills.

Alternatively, if you are familiar with object-oriented programming in other languages, then this book will help you understand the idiomatic ways to apply your knowledge in the Python ecosystem.

This book is loosely divided into four major parts. In the first four chapters, we will dive into the formal principles of object-oriented programming and how Python leverages them. In ,