When you’re writing robust code, tests are essential for verifying that your application logic is correct, reliable, and efficient. However, the value of your tests depends on how well they demonstrate these qualities. Obstacles such as complex logic and unpredictable dependencies can make writing valuable tests challenging. The Python mock object library, unittest.mock, can help you overcome these obstacles.
By the end of this course, you’ll be able to:
- Create Python mock objects using
Mock - Assert that you’re using objects as you intended
- Inspect usage data stored on your Python mocks
- Configure certain aspects of your Python mock objects
- Substitute your mocks for real objects using
patch() - Avoid common problems inherent in Python mocking
You’ll begin by learning what mocking is and how it will improve your tests!
What’s Included:
- 10 Lessons
- Video Subtitles and Full Transcripts
- 2 Downloadable Resources
- Accompanying Text-Based Tutorial
- Interactive Quiz to Check Your Progress
- Q&A With Python Experts: Ask a Question
- Certificate of Completion
Downloadable Resources:
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