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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

Class, state, and representation


In some cases, we might be creating a server that will provide data to remote clients. In other cases, we might want to consume data from remote computers. We may have a hybrid situation where our application is both a client of remote computers and servers to mobile applications. There are many situations where our application works with objects that are persisted remotely.

We need a way to transmit objects from process to process. We can decompose the larger problem into two smaller problems. The inter-networking protocols can help us transmit bytes from a process on one host to a process on another host. Serialization can transform our objects into bytes.

Unlike the object state, we transmit class definitions through an entirely separate and very simple method. We exchange class definitions via the source code. If we need to supply a class definition to a remote host, we send the Python source code to that host. The code must be properly installed to be...

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