🧪 Day 30 of #100DaysOfCode in Python: The Essentials of Testing Your Code

Welcome to Day 30! Today is all about an often overlooked but crucial aspect of programming: testing. Good testing practices ensure that your code is robust, reliable, and ready for whatever the future holds.

1. Why Testing Matters

Testing is the practice of checking whether the actual results match the expected outcomes, and it’s crucial for several reasons:

• Identifies Bugs Early: Catching errors early in the development cycle saves time and resources.
• Improves Code Quality: Well-tested code is typically cleaner, more stable, and easier to maintain.
• Facilitates Refactoring: With a good test suite, you can refactor code confidently, knowing you’ll quickly spot if something breaks.
• Provides Documentation: Tests can serve as documentation, showing how a piece of code is intended to be used.

2. Unit Testing in Python

Unit testing involves testing individual components (units) of the software to ensure each part works as intended. In Python, this can be done using the built-in unittest framework.

import unittest

def add(a, b):
    return a + b

class TestAddFunction(unittest.TestCase)…