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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

Case study

Our case study will span many of the chapters of this book. We'll be examining a single problem closely from a variety of perspectives. It's very important to look at alternative designs and design patterns; more than once, we'll point out that there's no single right answer: there are a number of good answers. Our intent here is to provide a realistic example that involves realistic depth and complications and leads to difficult trade-off decisions. Our goal is to help the reader apply object-oriented programming and design concepts. This means choosing among the technical alternatives to create something useful.

This first part of the case study is an overview of the problem and why we're tackling it. This background will cover a number of aspects of the problem to set up the design and construction of solutions in later chapters. Part of this overview will include some UML diagrams to capture elements of the problem to be solved. These will...

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