Testing for Quality
Unit testing is a foundational practice in sustaining code quality in Python. Unit testing involves writing small tests that check individual pieces of your code—typically functions or classes—to ensure they behave as expected. The main goal is to catch errors early, before they can propagate and cause more complex problems in your application. By running these tests regularly, you can confidently make changes to your code, knowing that existing functionality will not break unexpectedly.
A basic unit test usually involves:
- Setting up some input;
- Calling the function under test;
- Asserting that the output matches what you expect.
This process not only helps you find bugs but also clarifies how your code is supposed to work, acting as living documentation for your project.
123456789def add(a, b): return a + b # Simple test using assert statement result = add(2, 3) assert result == 5, f"Expected 5 but got {result}" # If the assertion passes, nothing happens. # If it fails, an AssertionError is raised.
1. Why are tests important for code quality?
2. What are the benefits of writing tests?
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What are some best practices for writing unit tests in Python?
Can you explain how to use testing frameworks like unittest or pytest?
Why is using assert statements alone not always sufficient for testing?
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Unit testing is a foundational practice in sustaining code quality in Python. Unit testing involves writing small tests that check individual pieces of your code—typically functions or classes—to ensure they behave as expected. The main goal is to catch errors early, before they can propagate and cause more complex problems in your application. By running these tests regularly, you can confidently make changes to your code, knowing that existing functionality will not break unexpectedly.
A basic unit test usually involves:
- Setting up some input;
- Calling the function under test;
- Asserting that the output matches what you expect.
This process not only helps you find bugs but also clarifies how your code is supposed to work, acting as living documentation for your project.
123456789def add(a, b): return a + b # Simple test using assert statement result = add(2, 3) assert result == 5, f"Expected 5 but got {result}" # If the assertion passes, nothing happens. # If it fails, an AssertionError is raised.
1. Why are tests important for code quality?
2. What are the benefits of writing tests?
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