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Learning Python

You're reading from  Learning Python

Product type Book
Published in Dec 2015
Publisher Packt
ISBN-13 9781783551712
Pages 442 pages
Edition 1st Edition
Languages
Author (1):
Fabrizio Romano Fabrizio Romano
Profile icon Fabrizio Romano
Toc

Table of Contents (20) Chapters close

Learning Python
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Preface
1. Introduction and First Steps – Take a Deep Breath 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. Advanced Concepts – OOP, Decorators, and Iterators 7. Testing, Profiling, and Dealing with Exceptions 8. The Edges – GUIs and Scripts 9. Data Science 10. Web Development Done Right 11. Debugging and Troubleshooting 12. Summing Up – A Complete Example Index

Writing a custom iterator


Now we have all the tools to appreciate how we can write our own custom iterator. Let's first define what is an iterable and an iterator:

  • Iterable: An object is said to be iterable if it's capable of returning its members one at a time. Lists, tuples, strings, dicts, are all iterables. Custom objects that define either of __iter__ or __getitem__ methods are also iterables.

  • Iterator: An object is said to be an iterator if it represents a stream of data. A custom iterator is required to provide an implementation for __iter__ that returns the object itself, and an implementation for __next__, which returns the next item of the data stream until the stream is exhausted, at which point all successive calls to __next__ simply raise the StopIteration exception. Built-in functions such as iter and next are mapped to call __iter__ and __next__ on an object, behind the scenes.

Let's write an iterator that returns all the odd characters from a string first, and then the even...

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