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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

Generator functions

Generator functions embody the essential features of a generator expression, which is the generalization of a comprehension. The generator function syntax looks even less object-oriented than anything we've seen, but we'll discover that once again, it is a syntax shortcut to create a kind of iterator object. It helps us build processing following the standard iterator-filter-mapping pattern.

Let's take the log file example a little further. If we want to decompose the log into columns, we'll have to do a more significant transformation as part of the mapping step. This will involve a regular expression to find the timestamp, the severity word, and the message as a whole. We'll look at a number of solutions to this problem to show how generators and generator functions can be applied to create the objects we want.

Here's a version, avoiding generator expressions entirely:

import csv
import re
from pathlib import Path
from...
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