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Python 3 Object-Oriented Programming

You're reading from   Python 3 Object-Oriented Programming Build robust and maintainable software with object-oriented design patterns in Python 3.8

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789615852
Length 466 pages
Edition 3rd 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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Table of Contents (15) Chapters Close

Preface 1. Object-Oriented Design FREE CHAPTER 2. Objects in Python 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-Oriented Programming 6. Python Data Structures 7. Python Object-Oriented Shortcuts 8. Strings and Serialization 9. The Iterator Pattern 10. Python Design Patterns I 11. Python Design Patterns II 12. Testing Object-Oriented Programs 13. Concurrency 14. Other Books You May Enjoy

How much testing is enough?

We've already established that untested code is broken code. But how can we tell how well our code is tested? How do we know how much of our code is actually being tested and how much is broken? The first question is the more important one, but it's hard to answer. Even if we know we have tested every line of code in our application, we do not know that we have tested it properly. For example, if we write a stats test that only checks what happens when we provide a list of integers, it may still fail spectacularly if used on a list of floats, strings, or self-made objects. The onus of designing complete test suites still lies with the programmer.

The second question–how much of our code is actually being tested–is easy to verify. Code coverage is an estimate of the number of lines of code that are executed by a program. If we...

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