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Learn AI with Python · Lesson

Debugging Techniques

Learn tools and strategies to identify and fix bugs.

Debugging Techniques is a free Learn AI with Python lesson on CoddyKit — lesson 2 of 3. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the Learn AI with Python learning path, one of 3 lessons in the course, and your progress syncs across the web and the CoddyKit app.

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Debugging Techniques

Debugging is the process of identifying and fixing errors in your code. Effective debugging techniques can save time and make development more efficient.

In this lesson, you’ll learn common debugging techniques that can help you find and resolve issues in your Python programs.

Debugging Techniques — illustration 1

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What Is Debugging?

Debugging involves systematically finding and fixing errors (bugs) in your code. Bugs can occur due to syntax errors, logical errors, or runtime errors.

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Using print() Statements

One of the simplest debugging techniques is to use print() statements to display the values of variables and the flow of execution.

# Using print() for debugging
x = 10
y = 0

print("x:", x)
print("y:", y)

result = x / y  # This will cause an error

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Reading Error Messages

Error messages provide clues about what went wrong in your code. Pay attention to the type of error, the file name, and the line number mentioned in the traceback.

# Example of an error message
x = 10
y = 0
result = x / y  # Outputs: ZeroDivisionError: division by zero

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Using Assertions

Assertions are a way to ensure that your code behaves as expected during runtime. Use assert statements to check assumptions.

# Using assertions for debugging
x = 10
assert x > 0, "x must be positive"

# This assertion will pass because x > 0

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Tracing Code with Comments

Add comments to explain the purpose of code segments and track the flow of execution during debugging.

# Tracing code with comments
x = 10  # Initialize x
y = 5   # Initialize y
result = x + y  # Calculate sum
print(result)   # Output the result

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Using pdb (Python Debugger)

The pdb module is a built-in Python library for debugging. It allows you to set breakpoints and inspect variables during execution.

# Using pdb for debugging
import pdb

x = 10
y = 5
pdb.set_trace()  # Pause here for debugging
result = x + y
print(result)

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Binary Search for Bugs

Divide your code into sections and test each part separately to isolate the source of the error. This technique is especially useful in large codebases.

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Common Debugging Mistakes

Here are some common mistakes to avoid:

  • Not reading error messages carefully.
  • Using print statements excessively without removing them later.
  • Debugging without understanding the expected behavior of the code.

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What Did We Learn?

In this lesson, you learned:

  • How to use print statements and error messages for debugging.
  • How to use assertions to validate assumptions.
  • How to use the pdb module for interactive debugging.
  • Best practices for debugging effectively.

Great job! Let’s move to the next topic.

Debugging Techniques — illustration 11

Frequently asked questions

Is the “Debugging Techniques” lesson free?

Yes — the full text of “Debugging Techniques” is free to read here on the web, and the Learn AI with Python course includes 3 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the Learn AI with Python course, upgrade to CoddyKit PRO.

What will I learn in “Debugging Techniques”?

Learn tools and strategies to identify and fix bugs. You practise Learn AI with Python with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start Learn AI with Python?

No prior experience is required. Learn AI with Python on CoddyKit is structured for beginners through advanced learners; this is — lesson 2 of 3, so you can start here or from the beginning and move at your own pace.

How long does the “Debugging Techniques” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this Learn AI with Python lesson?

Yes. Every Learn AI with Python lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. Unit Testing with unittest
  2. Debugging Techniques
  3. Using Debugging Tools
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