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Learn Python Programming

You're reading from   Learn Python Programming A comprehensive, up-to-date, and definitive guide to learning Python

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835882948
Length 616 pages
Edition 4th Edition
Languages
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Authors (2):
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Heinrich Kruger Heinrich Kruger
Author Profile Icon Heinrich Kruger
Heinrich Kruger
Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Toc

Table of Contents (20) Chapters Close

Preface A Gentle Introduction to Python FREE CHAPTER Built-In Data Types Conditionals and Iteration Functions, the Building Blocks of Code Comprehensions and Generators OOP, Decorators, and Iterators Exceptions and Context Managers Files and Data Persistence Cryptography and Tokens Testing Debugging and Profiling Introduction to Type Hinting Data Science in Brief Introduction to API Development CLI Applications Packaging Python Applications Programming Challenges Other Books You May Enjoy
Index

Writing a custom iterator

Now we have all the tools to appreciate how we can write our own custom iterator. Let us first define what iterable and iterator mean:

  • Iterable: An object is said to be iterable if it can return 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 a 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.

Exceptions will be the subject of Chapter...

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