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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

Specializing logging for control, debug, audit, and security


There are many kinds of logging; we'll focus on these four varieties:

  • Errors and Control: Basic error and control of an application leads to a main log that helps users confirm that the program really is doing what it's supposed to do. This would include enough error information with which the users can correct their problems and rerun the application. If a user enables verbose logging, it will amplify this main error and control the log with additional user-friendly details.

  • Debugging: This is used by developers and maintainers; it can include rather complex implementation details. We'll rarely want to enable blanket debugging, but will often enable debugging for specific modules or classes.

  • Audit: This is a formal confirmation that tracks the transformations applied to data so we can be sure that processing was done correctly.

  • Security: This can be used to show us who has been authenticated; it can help confirm that the authorization...

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