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Mastering Python Design Patterns

You're reading from   Mastering Python Design Patterns A guide to creating smart, efficient, and reusable software

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781788837484
Length 248 pages
Edition 2nd Edition
Languages
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Authors (2):
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Sakis Kasampalis Sakis Kasampalis
Author Profile Icon Sakis Kasampalis
Sakis Kasampalis
Kamon Ayeva Kamon Ayeva
Author Profile Icon Kamon Ayeva
Kamon Ayeva
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Toc

Table of Contents (17) Chapters Close

Preface 1. The Factory Pattern FREE CHAPTER 2. The Builder Pattern 3. Other Creational Patterns 4. The Adapter Pattern 5. The Decorator Pattern 6. The Bridge Pattern 7. The Facade Pattern 8. Other Structural Patterns 9. The Chain of Responsibility Pattern 10. The Command Pattern 11. The Observer Pattern 12. The State Pattern 13. Other Behavioral Patterns 14. The Observer Pattern in Reactive Programming 15. Microservices and Patterns for the Cloud 16. Other Books You May Enjoy

Iterator pattern

In programming, we use sequences or collections of objects a lot, particularly in algorithms and when writing programs that manipulate data. One can think of automation scripts, APIs, data-driven apps, and other domains. In this chapter, we are going to see a pattern that is really useful whenever we have to handle collections of objects: the Iterator pattern.

Note the following, according to the definition given by Wikipedia:

Iterator is a design pattern in which an iterator is used to traverse a container and access the container's elements. The iterator pattern decouples algorithms from containers; in some cases, algorithms are necessarily container-specific and thus cannot be decoupled.

The iterator pattern is extensively used in the Python context. As we will see, this translates into iterator being a language feature. It is so useful that the language...

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