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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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Toc

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

The writeback alternative to index updates


We can request that a shelf be opened with writeback=True. This will track changes to mutable objects by keeping a cached version of each object. Rather than burdening the shelve module with tracking all accessed objects to detect and preserve changes, the designs shown here will update a mutable object and specifically force the shelf to update the persistent version of the object.

This is a small shift in the runtime performance. An add_post() operation, for example, becomes slightly more costly because it also involves updating a Blog entry. If multiple Posts are added, these additional Blog updates become a kind of an overhead. However, this cost may be balanced by the improved performance of rendering Blog by avoiding a lengthy search of the shelf keys to track down the posts for a given blog. The designs shown here avoid creating a writeback cache that could grow unbounded during the running of an application.

Schema evolution

When working with...

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