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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

Using ChainMap for defaults and overrides


We'll often have a configuration file hierarchy. Previously, we listed several locations where configuration files can be installed. The configparser module, for example, is designed to read a number of files in an order and integrate the settings by having later files override values from earlier files.

We can implement an elegant default-value processing using the collections.ChainMap class. See Chapter 6, Creating Containers and Collections, for some background on this class. We'll need to keep the configuration parameters as dict instances, which is something that works out well using exec() to evaluate Python-language initialization files.

Using this will require us to design our configuration parameters as a flat dictionary of values. This may be a bit of a burden for applications with a large number of complex configuration values that are integrated from several sources. We'll show you a sensible way to flatten names.

First, we'll build a list...

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