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)
15
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16
Index

Extending built-ins

Python has two collections of built-ins that we might want to extend. We can broadly classify these into the following:

  • Immutable objects, including numbers, strings, bytes, and tuples. These will often have extended operators defined. In the Operator overloading section of this chapter, we looked at how we can provide arithmetic operations for objects of the Dice class.
  • Mutable collections, including sets, lists, and dictionaries. When we look at the definitions in collections.abc, these are sized, iterable containers, three distinct aspects that we might want to focus on. In The collections.abc module section of this chapter, we looked at creating an extension to the Mapping abstract base class.

There are other built-in types, but these two groupings are generally applicable to a variety of problems. For example, we could create a dictionary that rejects duplicate values.

The built-in dictionary always updates the value associated...