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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

Simplifying complex algorithms with immutable data structures

The concept of a stateful object is a common feature of object-oriented programming. We looked at a number of techniques related to objects and state in Chapter 7, Basics of Classes and Objects, and Chapter 8, More Advanced Class Design. A great deal of the emphasis of object-oriented design is creating methods that mutate an object's state.

When working with JSON or CSV files, we'll often be working with objects that have a Python dict object that defines the attributes. Using a dict object to store an object's attributes has several consequences:

  • We can trivially add and remove new attributes to the dictionary. We're not limited to simply setting and getting defined attributes. This makes it difficult for mypy to check our design carefully. The TypedDict type hint suggests a narrow domain of possible key values, but it doesn't prevent runtime use of unexpected keys.
  • ...
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