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Test Driven Python Development

You're reading from   Test Driven Python Development Develop high-quality and maintainable Python applications using the principles of test-driven development

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781783987924
Length 264 pages
Edition 1st Edition
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Author (1):
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Siddharta Govindaraj Siddharta Govindaraj
Author Profile Icon Siddharta Govindaraj
Siddharta Govindaraj
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Table of Contents (14) Chapters Close

Preface 1. Getting Started with Test-Driven Development FREE CHAPTER 2. Red-Green-Refactor – The TDD Cycle 3. Code Smells and Refactoring 4. Using Mock Objects to Test Interactions 5. Working with Legacy Code 6. Maintaining Your Test Suite 7. Executable Documentation with doctest 8. Extending unittest with nose2 9. Unit Testing Patterns 10. Tools to Improve Test-Driven Development A. Answers to Exercises B. Working with Older Python Versions Index

Tests are executable requirements

In the first test, we wrote a very simple test that checked whether a new Stock class has its price attribute initialized to None. We can now think about what requirement we want to implement next.

An observant reader might have caught on to the terminology used in the previous sentence, where I said that we can think about the requirement to implement next, instead of saying that we can think about the test to write next. Both statements are equivalent, because in TDD, tests are nothing but requirements. Each time we write a test and implement code to make it pass, what we actually do is make the code meet some requirement. Looking at it another way, tests are just executable requirement specifications. Requirement documentation often goes out of sync with what is actually implemented, but this is impossible with tests, because the moment they go out of sync, the test will fail.

In the previous chapter, we said that the Stock class will be used to hold...

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