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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 pydoc for documentation


We use the library module pydoc to produce HTML documentation from Python code. It turns out that we're using it when we evaluate the help() function in interactive Python. This function produces the text mode documentation with no markup.

When we use pydoc to produce the documentation, we'll use it in one of the following three ways:

  • Prepare text-mode documentation files and view them with command-line tools such as more or less

  • Prepare HTML documentation and save a file for browsing later

  • Run an HTTP server and create the HTML files as needed for browsing immediately

We can run the following command-line tool to prepare the text-based documentation for a module:

pydoc somemodule

We can also use the following code:

python3.3 -m pydoc somemodule

Either command will create text documentation based on the Python code. The output will be displayed with programs such as less (on Linux or Mac OS X) or more (on Windows) that paginate the long stream of output.

Ordinarily,...

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