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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

Summary


We've seen the basics of how to use the shelve module. This includes creating a shelf and designing keys to access the objects we've placed in the shelf. We've also seen the need for an access layer to perform the lower-level CRUD operations on the shelf. The idea is that we need to distinguish between the class definitions that are focused on our application and other administrative details that support persistence.

Design considerations and trade-offs

One of the strengths of the shelve module is allowing us to persist distinct items. This imposes a design burden to identify the proper granularity of the items. Too fine a granularity and we waste time assembling containers from their pieces. Too coarse a granularity and we waste time fetching and storing items that aren't relevant.

Since a shelf requires a key, we must design appropriate keys for our objects. We must also manage the keys for our various objects. This means using additional attributes to store keys and possibly creating...

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