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Python 3 Object-Oriented Programming - Second Edition

You're reading from   Python 3 Object-Oriented Programming - Second Edition Building robust and maintainable software with object oriented design patterns in Python

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Product type Paperback
Published in Aug 2015
Publisher Packt
ISBN-13 9781784398781
Length 460 pages
Edition 1st Edition
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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 (15) Chapters Close

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. 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

Iterators


In typical design pattern parlance, an iterator is an object with a next() method and a done() method; the latter returns True if there are no items left in the sequence. In a programming language without built-in support for iterators, the iterator would be looped over like this:

while not iterator.done():
    item = iterator.next()
    # do something with the item

In Python, iteration is a special feature, so the method gets a special name, __next__. This method can be accessed using the next(iterator) built-in. Rather than a done method, the iterator protocol raises StopIteration to notify the loop that it has completed. Finally, we have the much more readable for item in iterator syntax to actually access items in an iterator instead of messing around with a while loop. Let's look at these in more detail.

The iterator protocol

The abstract base class Iterator, in the collections.abc module, defines the iterator protocol in Python. As mentioned, it must have a __next__ method that...

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