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Modern Python Cookbook

You're reading from   Modern Python Cookbook The latest in modern Python recipes for the busy modern programmer

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781786469250
Length 692 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (18) Chapters Close

Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Numbers, Strings, and Tuples FREE CHAPTER 2. Statements and Syntax 3. Function Definitions 4. Built-in Data Structures – list, set, dict 5. User Inputs and Outputs 6. Basics of Classes and Objects 7. More Advanced Class Design 8. Input/Output, Physical Format, and Logical Layout 9. Testing 10. Web Services 11. Application Integration Index

Writing generator functions with the yield statement


Most of the recipes we've looked at have been designed to work with all of the items in a single collection. The approach has been to use a for statement to step through each item within the collection, either mapping the value to a new item, or reducing the collection to some kind of summary value.

Producing a single result from a collection is one of two ways to work with a collection. The alternative is to produce incremental results instead of a single result.

This approach is very helpful in the 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 an in-memory collection.

Is there some way to disentangle the collection structure from the processing function? Can we yield results from processing as soon as each individual item is available?

Getting ready

We'll look at some web log data that has date-time string values. We need to parse...

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