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Modern Python Cookbook

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

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835466384
Length 818 pages
Edition 3rd 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 (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

8.7 Deleting from a list of complicated objects

Removing items from a list has an interesting consequence. Specifically, when an item is removed, all the subsequent items move forward. The rule is this:

On deleting item y, items list[y+1:] take the place of items list[y:].

This is a side-effect that happens in addition to removing the selected item. Because things can move around in a list, it makes deleting more than one item at a time potentially challenging.

When the list contains items that have a definition for the __eq__() special method, then the list remove() method can remove each item. When the list items don’t have a simple __eq__() test, then the remove() method doesn’t work, making it more challenging to remove multiple items from the list.

8.7.1 Getting ready

For this example, we’ll work with a list of dictionaries, where a naïve approach to removing items doesn’...

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