Python Object-Oriented Programming - Fourth Edition: Build robust and maintainable object-oriented Python applications and libraries

Level up your Python development by exploring advanced OOP concepts in this updated edition covering the latest design patterns, OOP techniques, and real—world projects tailored for Python 3.11 and beyond

• Build an intuitive understanding of object—oriented design, from introductory to mature programs
• Learn the ins and outs of Python syntax, libraries, and best practices
• Examine a machine—learning case study at the end of each chapter

Python Object—Oriented Programming, Fourth Edition is a practical guide to advancing your OOP skills with modern Python. Going beyond the fundamentals, it helps you work with Python as an OOP language, explore both common and advanced design patterns, and apply these concepts to data manipulation and testing of complex OOP systems. Each chapter features newly written open—ended exercises as well as a real—world case study, aligned with the improvements in Python 3.11—bringing faster execution and memory efficiency to your applications. Authors Steven F. Lott and Dusty Phillips provide a comprehensive, illustrative tour of important OOP concepts, such as inheritance, composition, and polymorphism, showing how they integrate with Python’s classes and data structures to facilitate good design. The book also introduces two powerful automated testing systems, unittest and pytest, and explores Python's concurrent programming ecosystem in depth. By the end of the book, you’ll have a thorough understanding of how to think about and apply object—oriented principles using Python syntax to create robust and reliable programs.

• Implement objects in Python by creating classes and defining methods
• Extend class functionality using inheritance
• Use exceptions to handle unusual situations cleanly
• Understand when to use object—oriented features, and more importantly, when not to use them
• Discover several widely used design patterns and how they are implemented in Python
• Uncover the simplicity of unit and integration testing and understand why they are so important
• Learn to statically type check your dynamic code
• Understand concurrency with asyncio and how it speeds up programs

If you are new to object—oriented programming or if you have basic Python skills and want to learn how and when to correctly apply OOP principles in Python 3.11 and beyond, this is the book for you. Mid—level Python developers, software engineers, and data scientists will benefit from its practical guidance. Complete with a solid introduction to Python, this book proves to be a useful resource for experienced object—oriented programmers transitioning from other languages or seeking a leg up in the new world of Python. Minimal previous experience with Python programming is necessary.