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

Object-Oriented Design

In software development, design is often considered as the step that's done before programming. This isn't true; in reality, analysis, programming, and design tend to overlap, combine, and interweave. Throughout this book, we'll be covering a mixture of design and programming issues without trying to parse them into separate buckets. One of the advantages of a language like Python is the ability to express the design clearly.

In this chapter, we will talk a little about how we can move from a good idea toward writing software. We'll create some design artifacts – like diagrams – that can help clarify our thinking before we start writing code. We'll cover the following topics:

  • What object-oriented means
  • The difference between object-oriented design and object-oriented programming
  • The basic principles of object-oriented design
  • Basic Unified Modeling Language (UML) and...