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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

Chapter 16. Coping With the Command Line

Command-line startup options, environment variables, and configuration files are important to many applications, particularly the implementation of servers. There are a number of ways of dealing with program startup and object creation. We'll look at two issues in this chapter: argument parsing and the overall architecture for an application.

This chapter will extend the configuration file handling from Chapter 13, Configuration Files and Persistence, with yet more techniques for command-line programs and the top-level of a server. It will also extend some logging design features from Chapter 14, The Logging and Warning Modules.

In the next chapter, we'll extend these principles to continue looking at a kind of architectural design that we'll call programming in the Large. We'll use the Command design pattern to define software components that can be aggregated without resorting to shell scripts. This is particularly helpful when writing the background...

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