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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 (12) Chapters Close

Preface 1. Numbers, Strings, and Tuples 2. Statements and Syntax FREE CHAPTER 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

Using properties for lazy attributes


In the Designing classes with lots of processing recipe we defined a class that eagerly computed a number of attributes of the data in a collection. The idea there was to compute the values as soon as possible, so that the attributes would have no further computational cost.

We described this as eager processing, since the work was done as soon as possible. The other approach is lazy processing, where the work is done as late as possible.

What if we have values that are used rarely, and are very expensive to compute? What can we do to minimize the up-front computation, and only compute values when they are truly needed?

Getting ready...

Let's say we've collected data using a Counter object. For more information on the various collections, see Chapter 4, Built-in Data Structures – list, set, dict, specifically the Using set methods and operators and Avoiding mutable default values for function parameters recipes. In this case, the customers fall into eight...

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