This hands-on guide empowers Python developers to write clean, production-ready code using real-world OOP, design patterns, and concurrency tools. Fully updated for Python 3.13 with new type hinting and modern software engineering practices.
Key Features
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
Book DescriptionLearn to write effective, maintainable, and scalable Python applications by mastering object-oriented programming with this updated fifth edition. Whether youre transitioning from scripting to structured development or refining your OOP skills, this book offers a clear, practical path forward. Youll explore Pythons 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. Youll 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 Pythons type hinting ecosystemcrucial 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, youll be confident in applying OOP principles, design patterns, type hints, and concurrency tools to create robust and maintainable Python applications.What you will learn
Write Python classes and implement object behaviors Apply inheritance, polymorphism, and composition Understand when to use OOPand 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
Who this book is forPython 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 Pythons idiomatic approach. Basic Python knowledge is required.
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