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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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Toc

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

Summary


We looked at transmitting and sharing objects using RESTful web services and the wsgiref module, as well as the multiprocessing module. Both of these architectures provide for communicating a representation of an object's state. In the case of multiprocessing, pickle is used to represent the state. In the case of building RESTful web services, we have to choose the representation(s) used. In the examples used here, we focused on JSON because it's widely used and has a simple implementation. Many frameworks will offer simple implementations of XML as well.

Performing RESTful web services using a WSGI application framework formalizes the process of receiving HTTP requests, deserializing any objects, performing the requested processing, serializing any results, and providing a response. Because WSGI applications have a simple, standardized API, we can easily create composite applications and write wrapper applications. We can often leverage wrapper applications to handle the authentication...

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