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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

Searching, scanning, and querying


Don't panic; these are all just synonyms. We'll use the words interchangeably.

We have two design choices when looking at database searches. We can either return a sequence of keys or we can return a sequence of objects. As our design emphasizes storing the keys in each object, getting a sequence of objects from the database is sufficient, so we'll focus on that kind of design.

A search is inherently inefficient. We'd prefer to have more focused indices. We'll look at how we can create more useful indices in the following section. The fallback plan of brute-force scans, however, always works.

When a child class has an independent-style key, we can easily scan a shelf for all instances of some Child class using a simple iterator over the keys. Here's a generator expression that locates all the children:

children = ( shelf[k] for k in shelf.keys() if key.startswith("Child:") )

This looks at every single key in the shelf to pick the subset that begins with "Child...

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