Navigating the Maze: A Practical Guide to Debugging in Python

Demystifying Python Debugging for Every Developer

Photo by michael podger on Unsplash

Debugging is an inevitable part of the software development journey. As Python developers, encountering bugs is not a matter of if, but when.

In this article, we’ll explore practical strategies for debugging in Python, equipping you with the tools and techniques to unravel the mysteries of code issues. Let’s dive in!

Understanding the Basics

Using print Statements

The humble print statement is your first line of defense. Adding print statements strategically to your code helps you understand the flow of execution and the values of variables at different points.

def calculate_sum(a, b):
    print(f"Calculating sum of {a} and {b}")
    result = a + b
    print(f"Result: {result}")
    return result

# Testing the function
calculate_sum(5, 3)

Running the above code will display the printed messages, giving you insights into the values and the sequence of actions.

Leveraging assert Statements

Use assert statements to check if a condition is met. If the condition is False, an AssertionError is raised, providing…