Test-Driven Python Development. Develop high-quality and maintainable Python applications using the principles of test-driven development - Helion

Tytuł oryginału: Test-Driven Python Development. Develop high-quality and maintainable Python applications using the principles of test-driven development
ISBN: 9781783987931
stron: 264, Format: ebook
Data wydania: 2015-04-29
Księgarnia: Helion
Cena książki: 134,10 zł (poprzednio: 149,00 zł)
Oszczędzasz: 10% (-14,90 zł)
This book starts with a look at the test-driven development process, and how it is different from the traditional way of writing code. All the concepts are presented in the context of a real application that is developed in a step-by-step manner over the course of the book. While exploring the common types of smelly code, we will go back into our example project and clean up the smells that we find.
Additionally, we will use mocking to implement the parts of our example project that depend on other systems. Towards the end of the book, we'll take a look at the most common patterns and anti-patterns associated with test-driven development, including integration of test results into the development process.
Osoby które kupowały "Test-Driven Python Development. Develop high-quality and maintainable Python applications using the principles of test-driven development", wybierały także:
- Biologika Sukcesji Pokoleniowej. Sezon 3. Konflikty na terytorium 127,27 zł, (14,00 zł -89%)
- Windows Media Center. Domowe centrum rozrywki 66,67 zł, (8,00 zł -88%)
- Podręcznik startupu. Budowa wielkiej firmy krok po kroku 93,33 zł, (14,00 zł -85%)
- Ruby on Rails. Ćwiczenia 18,75 zł, (3,00 zł -84%)
- Scrum. O zwinnym zarz 77,78 zł, (14,00 zł -82%)
Spis treści
Test-Driven Python Development. Develop high-quality and maintainable Python applications using the principles of test-driven development eBook -- spis treści
- 1. Getting started with unit testing
- 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. Keeping your tests maintainable
- 7. Using Doctest to test code with examples
- 8. Extending unittest with nose2
- 9. Unit Testing Patterns
- 10. Integrating tests into the development process
- 11. Answers to Exercises
- 12. Working with older Python versions