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Mastering Object-Oriented Python

You're reading from   Mastering Object-Oriented Python Build powerful applications with reusable code using OOP design patterns and Python 3.7

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789531367
Length 770 pages
Edition 2nd 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 (25) Chapters Close

Preface 1. Section 1: Tighter Integration Via Special Methods FREE CHAPTER
2. Preliminaries, Tools, and Techniques 3. The __init__() Method 4. Integrating Seamlessly - Basic Special Methods 5. Attribute Access, Properties, and Descriptors 6. The ABCs of Consistent Design 7. Using Callables and Contexts 8. Creating Containers and Collections 9. Creating Numbers 10. Decorators and Mixins - Cross-Cutting Aspects 11. Section 2: Object Serialization and Persistence
12. Serializing and Saving - JSON, YAML, Pickle, CSV, and XML 13. Storing and Retrieving Objects via Shelve 14. Storing and Retrieving Objects via SQLite 15. Transmitting and Sharing Objects 16. Configuration Files and Persistence 17. Section 3: Object-Oriented Testing and Debugging
18. Design Principles and Patterns 19. The Logging and Warning Modules 20. Designing for Testability 21. Coping with the Command Line 22. Module and Package Design 23. Quality and Documentation 24. Other Books You May Enjoy

Creating a basic log

There are three steps to producing a log. The two necessary steps are the following:

  1. Get a logging.Logger instance with the logging.getLogger() function; for example, logger=logging.getLogger("demo").
  2. Create messages with that Logger. There are a number of methods, with names such as warn(), info(), debug(), error(), and fatal(), that create messages with different levels of importance. For example, logger.info("hello world").

These two steps are not sufficient to give us any output, however. There's a third, optional step that we take when we want to see logged messages. The reason for having a third step is because seeing a log isn't always required. Consider a debugging log that is generally left silent. The optional step is to configure the logging module's handlers, filters, and formatters. We can use the logging.basicConfig...

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