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Learn Python Programming, 3rd edition - Third Edition

You're reading from  Learn Python Programming, 3rd edition - Third Edition

Product type Book
Published in Oct 2021
Publisher Packt
ISBN-13 9781801815093
Pages 554 pages
Edition 3rd Edition
Languages
Authors (2):
Fabrizio Romano Fabrizio Romano
Profile icon Fabrizio Romano
Heinrich Kruger Heinrich Kruger
Profile icon Heinrich Kruger
View More author details

Table of Contents (18) Chapters

Preface 1. A Gentle Introduction to Python 2. Built-In Data Types 3. Conditionals and Iteration 4. Functions, the Building Blocks of Code 5. Comprehensions and Generators 6. OOP, Decorators, and Iterators 7. Exceptions and Context Managers 8. Files and Data Persistence 9. Cryptography and Tokens 10. Testing 11. Debugging and Profiling 12. GUIs and Scripting 13. Data Science in Brief 14. Introduction to API Development 15. Packaging Python Applications 16. Other Books You May Enjoy
17. 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 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, and dictionaries are all iterables. Custom objects that define either of the __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 the __iter__() method that returns the object itself, and an implementation for the __next__() method that 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 the __iter__() and __next__() methods on an object, behind the scenes.
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