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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

Summary


We saw how to use the logging module with more advanced object-oriented design techniques. We created logs associated with modules, classes, instances, and functions. We used decorators to create logging as a consistent cross-cutting aspect across multiple class definitions.

We saw how to use the warnings module to show you that there's a problem with the configuration or the deprecated methods. We can use warnings for other purposes, but we need to be cautious about the overuse of warnings and creating murky situations where it's not clear whether the application worked correctly or not.

Design considerations and trade-offs

The logging module supports auditability and debugging ability as well as some security requirements. We can use logging as a simple way to keep records of the processing steps. By selectively enabling and disabling logging, we can support developers who are trying to learn what the code is really doing when processing real-world data.

The warnings module supports...

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