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.

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Spis treści

Python Object-Oriented Programming. Learn how and when to apply OOP principles to build scalable and maintainable Python applications - Fifth Edition eBook -- spis treści

• 1. Object-Oriented Design
• 2. Objects in Python
• 3. When Objects Are Alike
• 4. Expecting the Unexpected
• 5. When to Use Object-Oriented Programming
• 6. The ABC's of Abstract Base Classes
• 7. Python Type Hints
• 8. Python Data Structures
• 9. The Intersection of Object-Oriented and Functional Programming
• 10. The Iterator Pattern
• 11. Common Design Patterns
• 12. Advanced Design Patterns
• 13. Testing Object-Oriented Programs
• 14. Concurrency