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Mastering Object-Oriented Python

You're reading from   Mastering Object-Oriented Python Build powerful applications with reusable code using OOP design patterns and Python 3.7

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789531367
Length 770 pages
Edition 2nd Edition
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Toc

Table of Contents (25) Chapters Close

Preface
Who this book is for
What this book covers
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1. Preliminaries, Tools, and Techniques FREE CHAPTER 2. The __init__() Method 3. Integrating Seamlessly - Basic Special Methods 4. Attribute Access, Properties, and Descriptors 5. The ABCs of Consistent Design 6. Using Callables and Contexts 7. Creating Containers and Collections 8. Creating Numbers 9. Decorators and Mixins - Cross-Cutting Aspects 10. Serializing and Saving - JSON, YAML, Pickle, CSV, and XML 11. Storing and Retrieving Objects via Shelve 12. Storing and Retrieving Objects via SQLite 13. Transmitting and Sharing Objects 14. Configuration Files and Persistence 15. Design Principles and Patterns 16. The Logging and Warning Modules 17. Designing for Testability 18. Coping with the Command Line 19. Module and Package Design 20. Quality and Documentation

Summary

In this chapter, we've surveyed the game of Blackjack. The rules have a moderate level of complexity, providing a framework for creating a simulation. Simulation was one of the first uses for OOP and remains a rich source of programming problems that illustrate language and library strengths.

This chapter introduces the way the Python runtime uses special methods to implement the various operators. The bulk of this book will show ways to make use of the special methods names for creating objects that interact seamlessly with other Python features.

We've also looked at a number of tools that will be required to build good Python applications. This includes the IDE, the mypy program for checking type hints, and the black and pylint programs for getting to a consistent style. We also looked at the timeit, unittest, and doctest modules for doing essential performance and functional testing. For final documentation of a project, it's helpful to install sphinx. The installation of these extra components can be done with pip or conda. The pip tool is part of Python, the conda tool requires another download to make it available.

In the next chapter, we'll start our exploration of Python with class definition. We'll focus specifically on how objects are initialized using the __init__() special method.

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Mastering Object-Oriented Python - Second Edition
Published in: Jun 2019
Publisher: Packt
ISBN-13: 9781789531367
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