Textbook in PDF format Key benefits Master OOP fundamentals with hands-on examples and expert insights Learn design patterns and type hinting with real-world Python 3.13 code Develop scalable programs using testing and concurrency best practices Purchase of the print or Kindle book includes a free PDF eBook Description 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. Who is this book for? Python developers who want to deepen their understanding of object-oriented programming to write maintainable, scalable, and professional-grade code. Ideal for developers transitioning from scripting to software engineering or those coming from other OOP languages looking to master Python’s idiomatic approach. Basic Python knowledge is required. What you will learn Write Python classes and implement object behaviors Apply inheritance, polymorphism, and composition Understand when to use OOP—and when not to Use type hints and perform static and runtime checks Explore common and advanced design patterns in Python Write unit and integration tests with unittest and pytest Implement concurrency with asyncio, futures, and threads Refactor procedural code into well-designed OOP structures