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Secret Recipes of the Python Ninja

You're reading from   Secret Recipes of the Python Ninja Over 70 recipes that uncover powerful programming tactics in Python

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788294874
Length 380 pages
Edition 1st Edition
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Author (1):
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Cody Jackson Cody Jackson
Author Profile Icon Cody Jackson
Cody Jackson
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Table of Contents (11) Chapters Close

Preface 1. Working with Python Modules FREE CHAPTER 2. Utilizing the Python Interpreter 3. Working with Decorators 4. Using Python Collections 5. Generators, Coroutines, and Parallel Processing 6. Working with Python's Math Module 7. Improving Python Performance with PyPy 8. Python Enhancement Proposals 9. Documenting with LyX 10. Other Books You May Enjoy

Using generator functions

Generators allow you to declare a function that operates like an iterator. This allows you to write a custom function that can be used in a for loop or an other iteration capacity. The key feature of a generator is that it yields a value, rather than using return.

When a generator function is called, it returns an iterator known as a generator. This generator controls the operation of the generator function. When the generator is called, the function proceeds like normal but, when the logic flow reaches the yield statement, processing is suspended while returning the first evaluation.

During the suspension, the local state of the function is retained in memory; it's just like a normal function was paused in completing its processing. When the generator is resumed by calling it again, it continues as if nothing happened, returns the next evaluation...

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