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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

Building lists – literals, appending, and comprehensions

If we've decided to create a collection based on each item's position in the container—a list—we have several ways of building this structure. We'll look at a number of ways we can assemble a list object from the individual items.

In some cases, we'll need a list because it allows duplicate values. This is common in statistical work, where we will have duplicates but we don't require the index positions. A different structure, called a multiset, would be useful for a statistically oriented collection that permits duplicates. This kind of collection isn't built-in (although collections.Counter is an excellent multiset, as long as items are immutable), leading us to use a list object.

Getting ready

Let's say we need to do some statistical analyses of some file sizes. Here's a short script that will provide us with the sizes of some files...

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