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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

Programming In The Large


Let's add a feature to our Blackjack simulation: analysis of results. We have several paths to implement this added feature. There are two dimensions to our considerations, leading to a large number of combinations. One dimension of our consideration is how to design the new features:

  • Add a function

  • Use the Command design pattern

The other dimension is how to package the new features:

  • Write a new top-level script file. We would have new commands based on files with names such as simulate.py and analyze.py.

  • Add a parameter to an application that allows one script to perform the simulation or analysis. We would have commands that look like app.py simulate and app.py analyze.

All four combinations are sensible ways to implement this. We'll focus on using the command design pattern. First, we'll revise our existing application to use the command design pattern. Then, we'll extend our application by adding features.

Designing command classes

Many applications involve an implicit...

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