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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

Base classes and polymorphism


In this section, we'll flirt with the idea of Pretty Poor Polymorphism. Inspection of argument values is a Python programming practice that should be isolated to a few special cases.

Well-done polymorphism follows what is sometimes called the Liskov Substitution Principle. Polymorphic classes can be used interchangeably. Each polymorphic class has the same suite of properties. For more information, visit http://en.wikipedia.org/wiki/Liskov_substitution_principle.

Overusing isinstance() to distinguish between the types of arguments can lead to a needlessly complex (and slow) program. Instance comparisons are made all the time, but errors are generally only introduced through software maintenance. Unit testing is a far better way to find programming errors than verbose type-checking in the code.

Method functions with lots of isinstance() methods can be a symptom of a poor (or incomplete) design of polymorphic classes. Rather than having type-specific processing outside...

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