Object-Oriented Python

Deeply dive into various aspects of object-oriented programming in Python, design patterns, data manipulation techniques, and testing issues of complex object-oriented systems. The discussion of all concepts is supported by examples specifically written for this edition and practical exercises at the end of each chapter. The code for all examples is compatible with the syntax of Python 3.9+ and is supplemented with type annotations to simplify learning.

Stephen and Dusty offer a clear and comprehensive overview of important OOP concepts such as inheritance, composition, and polymorphism, and explain their operation through examples of Python classes and data structures, which significantly eases design. The text extensively uses UML class diagrams to help understand the relationships between classes. In addition to OOP, the book discusses exception handling in Python in detail, as well as functional programming techniques that intersect with OOP techniques. The edition presents not one but two very powerful automated testing systems: unittest and pytest, and the final chapter discusses in detail the ecosystem of parallel programming in Python.

Get a complete understanding of how to apply the principles of object-oriented programming using Python syntax and learn to create reliable and resilient programs.