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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

Installing Python modules


We have several techniques to install a Python module or package:

  • We can write setup.py and use the distribution utilities module, distutils, to install the package into Python's lib/site-packages directory. See Distributing Python Modules.

  • We can set the PYTHONPATH environment variable to include our packages and modules. We can set this temporarily in a shell, or we can set it more permanently by editing our ~/.bash_profile or the system's /etc/profile. We'll take a look at this in a little more depth in the later section.

  • We can include the .pth files to add directories to the import path. These files can be located in the local directory or lib/site-packages to provide an indirect reference to a module or package. See the site module documentation in Python Standard Library for more information.

  • The local directory is a package as well. It's always first on the sys.path list. When working on a simple one-module Python application, this is very handy. When working...

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