Book Image

Python Object-Oriented Programming - Fourth Edition

By : Steven F. Lott, Dusty Phillips
2 (1)
Book Image

Python Object-Oriented Programming - Fourth Edition

2 (1)
By: Steven F. Lott, Dusty Phillips

Overview of this book

Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning. Steven and Dusty provide a comprehensive, illustrative tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Python’s classes and data structures to facilitate good design. In addition, the book also features an in-depth look at Python’s exception handling and how functional programming intersects with OOP. Two very powerful automated testing systems, unittest and pytest, are introduced. The final chapter provides a detailed discussion of Python's concurrent programming ecosystem. By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs.
Table of Contents (17 chapters)
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Adding behaviors to class data with properties

Throughout this book, we've focused on the separation of behavior and data. This is very important in object-oriented programming, but we're about to see that, in Python, the distinction is uncannily blurry. Python is very good at blurring distinctions; it doesn't exactly help us to think outside the box. Rather, it teaches us to stop thinking about the box.

Before we get into the details, let's discuss some bad object-oriented design principles. Many object-oriented developers teach us to never access attributes directly. They insist that we write attribute access like this:

class Color:
    def __init__(self, rgb_value: int, name: str) -> None:
        self._rgb_value = rgb_value
        self._name = name
    def set_name(self, name: str) -> None:
        self._name = name
    def get_name(self) -> str:
        return self._name
    def set_rgb_value(self, rgb_value: int) -> None: