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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

Using the standard library extensions

We'll look at some extensions to built-in classes that are already part of the standard library. These are the collections that extend or modify the built-in collections. Most of these are covered in one form or another in books such as Python 3 Object-Oriented Programming - Third Edition by Dusty Phillips.

We'll look at the following four collection from this library:

  • deque (note the atypical class name) is a double-ended queue, a list-like collection that can perform fast appends and pops on either end. A subset of the features of this class will create single-ended stacks or queues.
  • ChainMap is a view of multiple mappings. Instead of merging mappings together, we can keep them separate and chain among them to locate which mapping contains a requested key.
  • defaultdict (note the atypical spelling) is a dict subclass that uses...
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