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Mastering Object-Oriented Python

You're reading from   Mastering Object-Oriented Python Build powerful applications with reusable code using OOP design patterns and Python 3.7

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789531367
Length 770 pages
Edition 2nd Edition
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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 (25) Chapters Close

Preface 1. Section 1: Tighter Integration Via Special Methods FREE CHAPTER
2. Preliminaries, Tools, and Techniques 3. The __init__() Method 4. Integrating Seamlessly - Basic Special Methods 5. Attribute Access, Properties, and Descriptors 6. The ABCs of Consistent Design 7. Using Callables and Contexts 8. Creating Containers and Collections 9. Creating Numbers 10. Decorators and Mixins - Cross-Cutting Aspects 11. Section 2: Object Serialization and Persistence
12. Serializing and Saving - JSON, YAML, Pickle, CSV, and XML 13. Storing and Retrieving Objects via Shelve 14. Storing and Retrieving Objects via SQLite 15. Transmitting and Sharing Objects 16. Configuration Files and Persistence 17. Section 3: Object-Oriented Testing and Debugging
18. Design Principles and Patterns 19. The Logging and Warning Modules 20. Designing for Testability 21. Coping with the Command Line 22. Module and Package Design 23. Quality and Documentation 24. Other Books You May Enjoy

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. This is described in detail in the Python Packaging Authority documentation. See https://www.pypa.io/en/latest/ for information. Building software for other people to install can be complex, and will often require sophisticated test cases using the tox tool to build environments, run tests, and create distribution kits. See https://tox.readthedocs.io/en/latest/ for more information.
  • 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 later in...
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