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Python Object-Oriented Programming

You're reading from   Python Object-Oriented Programming Build robust and maintainable object-oriented Python applications and libraries

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077262
Length 714 pages
Edition 4th Edition
Languages
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Author (1):
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Dusty Phillips Dusty Phillips
Author Profile Icon Dusty Phillips
Dusty Phillips
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Toc

Table of Contents (17) Chapters Close

Preface 1. Object-Oriented Design 2. Objects in Python FREE CHAPTER 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-Oriented Programming 6. Abstract Base Classes and Operator Overloading 7. Python Data Structures 8. The Intersection of Object-Oriented and Functional Programming 9. Strings, Serialization, and File Paths 10. The Iterator Pattern 11. Common Design Patterns 12. Advanced Design Patterns 13. Testing Object-Oriented Programs 14. Concurrency 15. Other Books You May Enjoy
16. Index

Recall

In this chapter, we've looked at the following topics:

  • The ways to encode strings into bytes and decode bytes into strings. While some older character encodings (like ASCII) treat bytes and characters alike, this leads to confusion. Python text can be any Unicode character and Python bytes are numbers in the range 0 to 255.
  • String formatting lets us prepare string objects that have template pieces and dynamic pieces. This works for a lot of situations in Python. One is to create readable output for people, but we can use f-strings and the string format() method everywhere we're creating a complex string from pieces.
  • We use regular expressions to decompose complex strings. In effect, a regular expression is the opposite of a fancy string formatter. Regular expressions struggle to separate the characters we're matching from "meta-characters" that provide additional matching rules, like repetition or alternative choices.
  • We...
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