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Aprende Testing for Quality | Sustaining Code Quality
Code Quality and Refactoring in Python

bookTesting 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.

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def 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.
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1. Why are tests important for code quality?

2. What are the benefits of writing tests?

question mark

Why are tests important for code quality?

Select the correct answer

question mark

What are the benefits of writing tests?

Select the correct answer

¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 4. Capítulo 2

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bookTesting for Quality

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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.

123456789
def 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.
copy

1. Why are tests important for code quality?

2. What are the benefits of writing tests?

question mark

Why are tests important for code quality?

Select the correct answer

question mark

What are the benefits of writing tests?

Select the correct answer

¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 4. Capítulo 2
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