Exploring Testing and Debugging in Python: A Comprehensive Guide

Photo by C M on Unsplash

Testing and debugging are essential components of the software development process. They ensure that your code is robust, reliable, and free from errors. Python offers a range of tools and frameworks that make testing and debugging an integral part of your development workflow. In this article, we’ll dive into the world of testing and debugging in Python, exploring their significance and demonstrating how to use popular tools like unittest, pytest, pdb, and coverage.

Python-fundamentals/11.TestingDebugging at main · PytechAcademy/Python-fundamentals

Built-in Testing Framework — unittest

Python’s built-in unittest framework simplifies unit testing by providing a test discovery mechanism and assertion methods.

Let's consider a simple example:

# calculator.py
​
def add(a, b):
    return a + b

# test_calculator.py
​
import unittest
from calculator import add
​
class TestCalculator(unittest.TestCase):
    def test_add(self):
        self.assertEqual(add(2, 3), 5)
        self.assertEqual(add(-1, 1), 0)
​
if __name__ == '__main__':
    unittest.main()