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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

Implementing REST with a web application framework

A RESTful web server is a web application. This means we can leverage any of the popular Python web application frameworks. The complexity of creating RESTful services is low. The preceding examples illustrate how simple it is to map the CRUD rules to HTTP Methods.

Some of the Python web frameworks include one or more REST components. In some cases, the RESTful features are almost entirely built-in. In other cases, an add-on project can help define RESTful web services with minimal programming. For example, https://flask-restful.readthedocs.io/en/latest/ is a REST framework that can be used as a Flask extension.

Searching PyPI (https://pypi.python.org) for REST will turn up a large number of packages. There are numerous solutions that are already available. Most of these will offer some levels of simplification for common cases...

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