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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

Building lists – literals, appending, and comprehensions


If we've decided to create a collection that uses an item's position—a list—we have several ways of building this structure. We'll look at a number of ways we can build a list object from individual items.

In some cases, we'll need a list because it allows duplicate values. A great many statistical operations don't require knowing the position of an item. A multiset would be useful for this, but we don't have this as a built-in structure; it's very common to use a list instead of a multiset.

Getting ready

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

>>> import pathlib 
>>> home = pathlib.Path('source') 
>>> for path in home.glob('*/index.rst'): 
...     print(path.stat().st_size, path.parent) 
2353 source/ch_01_numbers_strings_and_tuples 
2889 source/ch_02_statements_and_syntax 
2195...
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