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This is a preview of the video course, "Improving Your Tests With the Python Mock Object Library". 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.
This is a portion of the complete course, which you can find here:
The rest of the course covers:
- Understanding Unit Tests
- Patching Code
- Patching Objects
- Patching datetime
- Avoiding Weird Bugs via Specifications
- Improving Your Tests With the Python Mock Object Library (Quiz)
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2026/02/12
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