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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This chapter looked at a design pattern that seems ubiquitous in Python, the iterator. The Python iterator concept is a foundation of the language and is used widely. In this chapter we examined a number of aspects:

  • Design patterns are good ideas we see repeated in software implementations, designs, and architectures. A good design pattern has a name, and a context where it's usable. Because it's only a pattern, not reusable code, the implementation details will vary each time the pattern is followed.
  • The Iterator protocol is one of the most powerful design patterns because it provides a consistent way to work with data collections. We can view strings, tuples, lists, sets, and even files as iterable collections. A mapping contains a number of iterable collections including the keys, the values, and the items (key and value pairs.)
  • List, set, and dictionary comprehensions are short, pithy summaries of how to create a new collection from an...