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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Case study

The previous chapters of the case study have contained a number of design patterns. We'll pick a variation on the model and walk through some of the patterns from this chapter and how they were applied.

Here's an overview of several parts of the application's classes. This is from the case study in Chapter 7, Python Data Structures:

Figure 12.12: The case study Logical view

This involves a number of patterns we've seen in this chapter. We'll start with the Hyperparameter class, which is a Façade that includes two separate complex components, the classifier algorithm and the training data.

First, we'll look at the classifier algorithm. In Chapter 10, The Iterator Pattern, we saw how the classifier is itself a complex structure. We looked at three alternatives: k_nn_1(), which had a naïve sort, k_nn_b(), which used bisection, and k_nn_q(), which used a heap queue. This exploration relied on several design patterns...