Testing with pytest
Learn professional testing practices. Write unit tests, use fixtures, and ensure code quality with pytest.
Learn professional testing practices. Write unit tests, use fixtures, and ensure code quality with pytest. This hands-on tutorial focuses on practical implementation of testing with pytest concepts.
Testing with pytest
Testing ensures your code works correctly and continues to work as you make changes.
Why Test?
- ✅ Catch bugs early
- ✅ Confidence in changes
- ✅ Documentation (tests show how code should work)
- ✅ Better design (testable code is usually better code)
Basic Assertions
Python's assert statement checks if a condition is true.
pytest Basics
pytest is Python's most popular testing framework.
Testing Exceptions
Parametrized Tests
Test the same function with multiple inputs.
Test Fixtures
Fixtures provide setup and teardown for tests.
Testing Best Practices
Test Organization
project/
├── src/
│ ├── calculator.py
│ └── user.py
└── tests/
├── test_calculator.py
└── test_user.py
Coding Challenge: Test a Class 🧪
Test-Driven Development (TDD)
AI Mentor
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Quiz
Quiz
Question 1 of 5What does assert do?
Key Takeaways
✅ Tests catch bugs and document expected behavior.
✅ assert checks conditions in tests.
✅ pytest is Python's most popular testing framework.
✅ Fixtures provide setup/teardown for tests.
✅ TDD writes tests before code.
Module 5 Complete! 🎉
Congratulations! You've mastered Advanced Python:
- ✅ File I/O & Path Operations
- ✅ Exception Handling
- ✅ JSON & CSV
- ✅ Regular Expressions
- ✅ Iterators & Generators
- ✅ Testing with pytest
You now have professional-level Python skills!
Keep coding! 🚀