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Python 3 Object-Oriented Programming - Second Edition

You're reading from  Python 3 Object-Oriented Programming - Second Edition

Product type Book
Published in Aug 2015
Publisher Packt
ISBN-13 9781784398781
Pages 460 pages
Edition 1st Edition
Languages
Author (1):
Dusty Phillips Dusty Phillips
Profile icon Dusty Phillips

Table of Contents (21) Chapters

Python 3 Object-oriented Programming Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Introduction to the second edition
Preface
1. Object-oriented Design 2. Objects in Python 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-oriented Programming 6. Python Data Structures 7. Python Object-oriented Shortcuts 8. Strings and Serialization 9. The Iterator Pattern 10. Python Design Patterns I 11. Python Design Patterns II 12. Testing Object-oriented Programs 13. Concurrency Index

Case study


For this case study, we'll try to delve further into the question, "when should I choose an object versus a built-in type?" We'll be modeling a Document class that might be used in a text editor or word processor. What objects, functions, or properties should it have?

We might start with a str for the Document contents, but in Python, strings aren't mutable (able to be changed). Once a str is defined, it is forever. We can't insert a character into it or remove one without creating a brand new string object. That would be leaving a lot of str objects taking up memory until Python's garbage collector sees fit to clean up behind us.

So, instead of a string, we'll use a list of characters, which we can modify at will. In addition, a Document class would need to know the current cursor position within the list, and should probably also store a filename for the document.

Note

Real text editors use a binary-tree based data structure called a rope to model their document contents. This book...

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