Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Python 3 Object Oriented Programming

You're reading from   Python 3 Object Oriented Programming If you feel it‚Äôs time you learned object-oriented programming techniques, this is the perfect book for you. Clearly written with practical exercises, it‚Äôs the painless way to learn how to harness the power of OOP in Python.

Arrow left icon
Product type Paperback
Published in Jul 2010
Publisher Packt
ISBN-13 9781849511261
Length 404 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Dusty Phillips Dusty Phillips
Author Profile Icon Dusty Phillips
Dusty Phillips
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Python 3 Object Oriented Programming
Credits
About the Author
About the Reviewers
Preface
1. Object-oriented Design FREE CHAPTER 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. Python Design Patterns I 9. Python Design Patterns II 10. Files and Strings 11. Testing Object-oriented Programs 12. Common Python 3 Libraries Index

Treat objects as objects


This may seem obvious, but you should generally give separate objects in your problem domain a special class in your code. We've seen examples of this in the case studies in previous chapters; the process is generally to identify objects in the problem and then model their data and behaviors.

Identifying objects is a very important task in object-oriented analysis and programming. But it isn't always as easy as counting the nouns in a short paragraph, as we've been doing. Remember, objects are things that have both data and behavior. If we are working with only data, we are often better off storing it in a list, set, dictionary, or some other Python data structure (which we'll be covering thoroughly in the next chapter). On the other hand, if we are working with only behavior, with no stored data, a simple function is more suitable.

An object, however, has both data and behavior. Most Python programmers use built-in data structures unless (or until) there is an obvious...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at £16.99/month. Cancel anytime