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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

Testing and development

One of the many ways these unit tests can help is when debugging application problems. When each unit seems to work in isolation, any remaining problems will often be the result of an improperly used interface between components. When searching for the root cause of a problem, a suite of passing tests acts as a set of signposts, directing the developer into the wilderness of untested features in the borderlands between components.

When a problem is found, the cause is often one of the following:

  • Someone writing a new class failed to understand an interface with an existing class and used it incorrectly. This indicates a need for a new unit test to reflect the right way to use the interface. This new test should cause the new code to fail its expanded test suite. An integration test is also helpful, but not as important as the new unit test focused on interface details.
  • The interface was not spelled out in enough detail, and both parties...
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