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Python Object-Oriented Programming

Python Object-Oriented Programming - Fifth Edition

By : Steven F. Lott, Dusty Phillips
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Python Object-Oriented Programming

Python Object-Oriented Programming

By: Steven F. Lott, Dusty Phillips

Overview of this book

Learn to write effective, maintainable, and scalable Python applications by mastering object-oriented programming with this updated fifth edition. Whether you’re transitioning from scripting to structured development or refining your OOP skills, this book offers a clear, practical path forward. You’ll explore Python’s approach to OOP, from class creation and inheritance to polymorphism and abstraction, while discovering how to make smarter decisions about when and how to use these tools. You’ll apply what you learn through hands-on examples and exercises. Updated for Python 3.13, this edition simplifies complex topics such as abstract base classes, testing with unittest and pytest, and async programming with asyncio. It introduces a new chapter on Python’s type hinting ecosystem—crucial for modern Python development. Written by long-time Python experts Steven Lott and Dusty Phillips, this edition emphasizes clarity, testability, and professional software engineering practices. It helps you move beyond scripting to building well-structured, production-ready Python systems. By the end of this book, you’ll be confident in applying OOP principles, design patterns, type hints, and concurrency tools to create robust and maintainable Python applications.
Table of Contents (17 chapters)
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16
Index

Preface

The Python programming language is extremely popular and used for a variety of applications. The Python language is designed to make it relatively easy to create small programs. To create more sophisticated software, we need to acquire a number of important programming and software design skills.

This book describes the object-oriented approach to creating programs in Python. It introduces the terminology of object-oriented programming, demonstrating software design and Python programming through step-by-step examples. It describes how to make use of inheritance and composition to build software from individual elements. It shows how to use Python’s built-in exceptions and data structures, as well as elements of the Python standard library. A number of common design patterns are described with detailed examples.

This book covers how to write automated tests to confirm that our software works. It also shows how to use the various concurrency libraries available as part of Python, making effective use of multiple cores and multiple processors in a modern computer.

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