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The Python Workshop

You're reading from   The Python Workshop Learn to code in Python and kickstart your career in software development or data science

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781839218859
Length 608 pages
Edition 1st Edition
Languages
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Authors (6):
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Andrew Bird Andrew Bird
Author Profile Icon Andrew Bird
Andrew Bird
Graham Lee Graham Lee
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Graham Lee
Corey Wade Corey Wade
Author Profile Icon Corey Wade
Corey Wade
Dr. Lau Cher Han Dr. Lau Cher Han
Author Profile Icon Dr. Lau Cher Han
Dr. Lau Cher Han
Olivier Pons Olivier Pons
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Olivier Pons
Mario Corchero Jiménez Mario Corchero Jiménez
Author Profile Icon Mario Corchero Jiménez
Mario Corchero Jiménez
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Toc

Table of Contents (13) Chapters Close

Preface 1. Vital Python – Math, Strings, Conditionals, and Loops 2. Python Structures FREE CHAPTER 3. Executing Python – Programs, Algorithms, and Functions 4. Extending Python, Files, Errors, and Graphs 5. Constructing Python – Classes and Methods 6. The Standard Library 7. Becoming Pythonic 8. Software Development 9. Practical Python – Advanced Topics 10. Data Analytics with pandas and NumPy 11. Machine Learning Appendix

Iterators

The Pythonic secret that enables comprehensions to find all of the entries in a list, range, or other collection is an iterator. Supporting iterators in your own classes opens them up for use in comprehensions, for…in loops, and anywhere that Python works with collections. Your collection must implement a method called __iter__(), which returns the iterator.

The iterator itself is also a Python object with a simple contract. It must provide a single method, __next__(). Each time __next__() is called, the iterator returns the next value in the collection. When the iterator reaches the end of the collection, __next__() raises StopIteration to signal that the iteration should terminate.

If you've used exceptions in other programming languages, you may be surprised by this use of an exception to signal a fairly commonplace situation. After all, plenty of loops reach an end, so it's not exactly an exceptional circumstance. Python is not so dogmatic about...

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