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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

Using Sphinx to produce the documentation


The Sphinx tool produces very good-looking documentation in a variety of formats. It can easily combine documentation from source code as well as external files with additional design notes, requirements, or background.

The Sphinx tool can be found at http://sphinx-doc.org. The download can become complex because Sphinx depends on several other projects. It may be easier to first install setuptools, which includes the easy_install script, and then use this to install Sphinx. This can help us with the details of tracking down the additional projects that must be installed first.

See https://pypi.python.org/pypi/setuptools for help on setuptools.

Some developers prefer to use pip for this kind of installation. See https://pypi.python.org/pypi/pip for information on pip.

The Sphinx tutorial is outstanding. Start there and be sure that you can use sphinx-quickstart and sphinx-build. Often, running sphinx-build is handled via the make program, which slightly...

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