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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

This chapter's case study will look at some ways that we can find – and help the users fix – potential problems with the data or the application's computations. Both the data and the processing are possible sources of exceptional behavior. They aren't, however, equivalent; we can compare the two as follows:

  • Exceptional data is the most common source of problems. The data may not follow the syntax rules and have an invalid physical format. Other, more minor errors may stem from data not having a recognized logical organization, for example wrong spelling of column names. Exceptions can also reflect users attempting to perform an unauthorized operation. We need to alert users and administrators of invalid data or invalid operations.
  • Exceptional processing is what is commonly called a bug. An application shouldn't try to recover from these problems. While we prefer to find them as part of unit or integration...
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