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Python: Journey from Novice to Expert

You're reading from   Python: Journey from Novice to Expert Journey from Novice to Expert

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Product type Course
Published in Aug 2016
Publisher Packt
ISBN-13 9781787120761
Length 1311 pages
Edition 1st Edition
Languages
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Authors (3):
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Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
Dusty Phillips Dusty Phillips
Author Profile Icon Dusty Phillips
Dusty Phillips
Rick Hattem Rick Hattem
Author Profile Icon Rick Hattem
Rick Hattem
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Toc

Table of Contents (6) Chapters Close

Preface 1. Module 1 FREE CHAPTER 2. Module 2 3. Module 3 A. Bibliography
Index

Chapter 6. Generators and Coroutines – Infinity, One Step at a Time

A generator is a specific type of iterator that generates values through a function. While traditional methods build and return a list of items, a generator will simply yield every value separately at the moment when they are requested by the caller. This method has several benefits:

  • Generators pause execution completely until the next value is yielded, which makes them completely lazy. If you fetch five items from a generator, only five items will be generated, so no other computation is needed.
  • Generators have no need to save values. Whereas a traditional function would require creating a list and storing all results until they are returned, a generator only needs to store a single value.
  • Generators can have infinite size. There is no requirement to stop at a certain point.

These benefits come at a price, however. The immediate results of these benefits are a few disadvantages:

  • Until you are done processing...
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