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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

Organizing code into src, bin, and test


As we noted in the previous section, there's no essential need for a complex directory structure. Simple Python applications can be built in a simple, flat directory. We can include the application modules, test modules, as well as setup.py and README. This is pleasantly simple and easy to work with.

When the modules and packages get more complex, however, we'll often need to be a bit more structured. For complex applications, one common approach is to segregate Python code into three bundles. To make the examples concrete, let's assume that our application is called my_app. Here are the typical directories we might create:

  • my_app/my_app: This directory has all of the working application code. All of the various modules and packages are here. A vaguely named src directory is uninformative. This my_app directory should include an empty __init__.py file so that the application also acts as a package.

  • my_app/bin or my_spp/scripts: This directory can have...

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