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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

Designing a package


One important consideration to design a package is don't. The Zen of Python poem (also known as import this) includes this line:

"Flat is better than nested"

We can see this in the Python Standard Library. The structure of the library is relatively flat; there are few nested modules. Deeply nested packages can be overused. We should be skeptical of excessive nesting.

A package is essentially a directory with an extra file, __init__.py. The directory name must be a proper Python name. OS names include a lot of characters that are not allowed in Python names.

We often see three design patterns for packages:

  • Simple packages are a directory with an empty __init__.py file. This package name becomes a qualifier for the internal module names. We'll use the following code:

    import package.module
  • A module package can have an __init__.py file that is effectively a module definition. This can import other modules from the package directory. Or, it can stand as a part of a larger design...

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