Improve Your Tests With the Python Mock Object Library

Course Description

Skill level: intermediate

In this course, you'll learn how to use the Python mock object library, unittest.mock, to create and use mock objects to improve your tests. Obstacles like complex logic and unpredictable dependencies make writing valuable tests difficult, but unittest.mock can help you overcome these obstacles.

Improve Your Tests With the Python Mock Object Library

1. Improve Your Tests With the Python Mock Object Library (Overview)

2. What Is Mocking?

3. The Mock Library

4. Mock Objects

5. Lazy Attributes and Methods

6. Assertions

7. Associated Attributes

8. Return Value (Part 1)

9. Return Value (Part 2)

10. unittest Example

11. What Is a Side Effect?

12. Side Effects: Setting Up

13. Side Effects: Troubleshooting

14. Side Effects: Testing

15. Side Effects: Another Test

16. Side Effects: Advanced Test (Part 1)

17. Side Effects: Advanced Test (Part 2)

18. Side Effects as an Iterable (Part 1)

19. Side Effects as an Iterable (Part 2)

20. Configure Mocks (Part 1)

21. Configure Mocks (Part 2)

22. What Is patch()?

23. patch() as Decorator

24. patch() as Context Manager

25. patch.object() as Context Manager

26. patch.object() as Decorator

27. Common Problems With Mocking

28. spec List

29. spec Module

30. autospec

31. Improve Your Tests With the Python Mock Object Library (Quiz)

32. Improve Your Tests With the Python Mock Object Library (Summary)

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This person’s account is verified and was created on March 26, 2020. Real Python certifies their completion of the Improve Your Tests With the Python Mock Object Library course on Dec. 13, 2021.

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