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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.

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Product type Paperback
Published in Jul 2010
Publisher Packt
ISBN-13 9781849511261
Length 404 pages
Edition 1st Edition
Languages
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Author (1):
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Dusty Phillips Dusty Phillips
Author Profile Icon Dusty Phillips
Dusty Phillips
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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

Chapter 7. Python Object-oriented Shortcuts

Now let's look at some aspects of Python that appear more reminiscent of structural or functional programming than object-oriented programming. Although object-oriented programming is the most popular kid on the block these days, the old paradigms still offer useful tools. Most of these tools are really syntactic sugar over an underlying object-oriented implementation; we can think of them as a further abstraction layer built on top of the (already abstracted) object-oriented paradigm. In this chapter we'll be covering:

  • Built-in functions that take care of common tasks in one call

  • List, set, and dictionary comprehensions

  • Generators

  • An alternative to method overloading

  • Functions as objects

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