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Mastering Object-oriented Python

You're reading from   Mastering Object-oriented Python If you want to master object-oriented Python programming this book is a must-have. With 750 code samples and a relaxed tutorial, it's a seamless route to programming Python.

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Product type Paperback
Published in Apr 2014
Publisher Packt
ISBN-13 9781783280971
Length 634 pages
Edition Edition
Languages
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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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Table of Contents (26) Chapters Close

Mastering Object-oriented Python
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Some Preliminaries
1. The __init__() Method FREE CHAPTER 2. Integrating Seamlessly with Python Basic Special Methods 3. Attribute Access, Properties, and Descriptors 4. The ABCs of Consistent Design 5. Using Callables and Contexts 6. Creating Containers and Collections 7. Creating Numbers 8. Decorators and Mixins – Cross-cutting Aspects 9. Serializing and Saving – JSON, YAML, Pickle, CSV, and XML 10. Storing and Retrieving Objects via Shelve 11. Storing and Retrieving Objects via SQLite 12. Transmitting and Sharing Objects 13. Configuration Files and Persistence 14. The Logging and Warning Modules 15. Designing for Testability 16. Coping With the Command Line 17. The Module and Package Design 18. Quality and Documentation Index

Chapter 1. The __init__() Method

The __init__() method is profound for two reasons. Initialization is the first big step in an object's life; every object must be initialized properly to work properly. The second reason is that the argument values for __init__() can take on many forms.

Because there are so many ways to provide argument values to __init__(), there is a vast array of use cases for object creation. We take a look at several of them. We want to maximize clarity, so we need to define an initialization that properly characterizes the problem domain.

Before we can get to the __init__() method, however, we need to take a look at the implicit class hierarchy in Python, glancing, briefly, at the class named object. This will set the stage for comparing default behavior with the different kinds of behavior we want from our own classes.

In this chapter, we take a look at different forms of initialization for simple objects (for example, playing cards). After this, we can take a look at more complex objects, such as hands that involve collections and players that involve strategies and states.

You have been reading a chapter from
Mastering Object-oriented Python
Published in: Apr 2014
Publisher: Packt
ISBN-13: 9781783280971
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