Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Modern Python Cookbook

You're reading from   Modern Python Cookbook 130+ updated recipes for modern Python 3.12 with new techniques and tools

Arrow left icon
Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835466384
Length 818 pages
Edition 3rd Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
Arrow right icon
View More author details
Toc

Table of Contents (20) Chapters Close

Preface 1. Chapter 1 Numbers, Strings, and Tuples FREE CHAPTER 2. Chapter 2 Statements and Syntax 3. Chapter 3 Function Definitions 4. Chapter 4 Built-In Data Structures Part 1: Lists and Sets 5. Chapter 5 Built-In Data Structures Part 2: Dictionaries 6. Chapter 6 User Inputs and Outputs 7. Chapter 7 Basics of Classes and Objects 8. Chapter 8 More Advanced Class Design 9. Chapter 9 Functional Programming Features 10. Chapter 10 Working with Type Matching and Annotations 11. Chapter 11 Input/Output, Physical Format, and Logical Layout 12. Chapter 12 Graphics and Visualization with Jupyter Lab 13. Chapter 13 Application Integration: Configuration 14. Chapter 14 Application Integration: Combination 15. Chapter 15 Testing 16. Chapter 16 Dependencies and Virtual Environments 17. Chapter 17 Documentation and Style 18. Other Books You May Enjoy
19. Index

4.2 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, unlike a set. This is common in statistical work. A different structure, called a multiset, can also be useful for a statistically oriented collection that permits duplicates. This collection is available in the standard library as collections.Counter.

4.2.1 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:

>>> from pathlib import Path 
 
>>> home = Path.cwd() / "data" ...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image