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Why and What to Test
Why and What to Test
In this lesson — part of Testing Fundamentals — you'll learn why and what to test in Python and why it matters in real work.
Why it matters
Tests prove your code works and keep it working as you change it.
Key ideas
- What to test
- Arrange-Act-Assert
- Running a test suite
- Good vs. brittle tests
In practice
Here's how it looks in idiomatic Python:
import unittest
def add(a, b):
return a + b
class TestAdd(unittest.TestCase):
def test_add(self):
self.assertEqual(add(2, 3), 5)
if __name__ == "__main__":
unittest.main()
Python note: The stdlib unittest framework discovers methods prefixed with test_ on TestCase subclasses; pytest is the popular third-party alternative.
Try it yourself
Exercise: In Python, write three tests for a function that reverses a string.
Recap
You now understand why and what to test and can apply it in Python. Mark this lesson complete and continue to the next one.
