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Modern Python Cookbook

You're reading from   Modern Python Cookbook 133 recipes to develop flawless and expressive programs in Python 3.8

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800207455
Length 822 pages
Edition 2nd Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Toc

Table of Contents (18) Chapters Close

Preface 1. Numbers, Strings, and Tuples 2. Statements and Syntax FREE CHAPTER 3. Function Definitions 4. Built-In Data Structures Part 1: Lists and Sets 5. Built-In Data Structures Part 2: Dictionaries 6. User Inputs and Outputs 7. Basics of Classes and Objects 8. More Advanced Class Design 9. Functional Programming Features 10. Input/Output, Physical Format, and Logical Layout 11. Testing 12. Web Services 13. Application Integration: Configuration 14. Application Integration: Combination 15. Statistical Programming and Linear Regression 16. Other Books You May Enjoy
17. Index

Writing generator functions with the yield statement

A generator function is designed to apply some kind of transformation to each item of a collection. The generator is called "lazy" because of the way values must be consumed from the generator by a client. Client functions like the list() function or implicit iter() function used by a for statement are common examples of consumers. Each time a function like list() consumes a value, the generator function must consume values from its source and use the yield statement to yield one result back to the list() consumer.

In contrast, an ordinary function can be called "eager." Without the yield statement, a function will compute the entire result and return it via the return statement.

A consumer-driven approach is very helpful in cases where we can't fit an entire collection in memory. For example, analyzing gigantic web log files is best done in small doses rather than by creating a vast in...

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