Testing Strategies

Testing is how you prove your code works — and keep it working as you make changes. A good test suite catches bugs before users do, gives you confidence to refactor, and serves as living documentation of how your code should behave.

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This concept is covered in two parts:

1. Part 1: Unit Testing and Integration Testing — The test pyramid, pytest basics, fixtures, TDD, and best practices
2. Part 2: Advanced Testing — Mocking, parametrize, code coverage, and common mistakes

Practice

• Level 0 projects — all projects include test suites
• Module 08 Advanced Testing — parametrize, mocking, hypothesis
• Elite Track / 05 Performance Profiler Workbench

Quick check: Take the quiz (coming soon)

Review: Flashcard decks Practice reps: Coding challenges

Further Reading

• pytest documentation
• unittest.mock (Python docs)
• pytest-cov documentation

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