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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

Integrating command-line options and environment variables


The general policy for environment variables is that they are configuration inputs, similar to command-line options and arguments. For the most part, we use environment variables for settings that rarely change. We'll often set them via the .bashrc or .bash_profile files so that the values apply every time we log in. We may set the environment variables more globally in an /etc/bashrc file so that they apply to all users. We can also set environment variables on the command line, but these settings only last as long as the session is logged in.

In some cases, all of our configuration settings can be provided on the command line. In this case, the environment variables could be used as a kind of backup syntax for slowly changing variables.

In other cases, the configuration values we provide may be segregated into settings provided by environment variables different from settings provided by command-line options. We may need to get some...

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