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Learn Python Programming, 3rd edition

You're reading from   Learn Python Programming, 3rd edition An in-depth introduction to the fundamentals of Python

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801815093
Length 554 pages
Edition 3rd Edition
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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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Table of Contents (18) Chapters Close

Preface 1. A Gentle Introduction to Python 2. Built-In Data Types FREE CHAPTER 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

Generators

Generators are very powerful tools. They are based on the concept of iteration, as we said before, and they allow for coding patterns that combine elegance with efficiency.

Generators are of two types:

  • Generator functions: These are very similar to regular functions, but instead of returning results through return statements, they use yield, which allows them to suspend and resume their state between each call.
  • Generator expressions: These are very similar to the list comprehensions we've seen in this chapter, but instead of returning a list, they return an object that produces results one by one.

Generator functions

Generator functions behave like regular functions in all respects, except for one difference: instead of collecting results and returning them at once, they are automatically turned into iterators that yield results one at a time when you call next on them. Generator functions are automatically turned into their own...

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