Using Debugging Tools
Explore Python's debugging tools for efficient troubleshooting.
Using Debugging Tools is a free Learn AI with Python lesson on CoddyKit — lesson 3 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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Using Debugging Tools
Modern debugging tools simplify the process of identifying and fixing errors in your code. These tools provide features like breakpoints, step-by-step execution, and variable inspection.
In this lesson, you’ll learn how to use popular debugging tools and IDE features for debugging Python programs.

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Debugging in IDEs
Most modern IDEs like PyCharm, VS Code, and Jupyter Notebook provide built-in debugging tools. These tools allow you to set breakpoints, step through code, and inspect variables.
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Setting Breakpoints
A breakpoint pauses the program execution at a specific line. You can inspect variables and analyze the state of the program at that point.
In VS Code, click next to the line number to set a breakpoint. In PyCharm, click in the gutter area next to the code line.
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Stepping Through Code
Debugging tools allow you to execute your code line by line (Step Over) or dive into functions (Step Into). This helps you identify where the logic breaks down.
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Inspecting Variables
During a debugging session, you can inspect the values of variables in the current scope. IDEs usually display variable values in a dedicated panel.
# Example for variable inspection
x = 10
y = 20
z = x + y
print(z) # Inspect x, y, and z during debugging6
Using Watch Expressions
Watch expressions allow you to monitor the values of specific variables or expressions during a debugging session. This feature is available in most IDEs.
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Using the Call Stack
The call stack shows the sequence of function calls that led to the current point in the program. This is helpful for tracing the flow of execution.
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Using Debugging Extensions
Tools like the VS Code Python extension and PyCharm’s debugging plugins provide advanced features, such as remote debugging and conditional breakpoints.
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Common Mistakes When Debugging
Here are some common mistakes to avoid:
- Not setting breakpoints effectively, leading to incomplete analysis.
- Ignoring the call stack while tracing complex errors.
- Relying solely on manual debugging without using IDE features.
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What Did We Learn?
In this lesson, you learned:
- How to use IDEs for debugging with breakpoints and stepping through code.
- How to inspect variables and use watch expressions during debugging.
- The importance of the call stack in tracing program flow.
- How to use advanced debugging extensions for better analysis.
Great job! Let’s move to the next topic.

Frequently asked questions
Is the “Using Debugging Tools” lesson free?
Yes — the full text of “Using Debugging Tools” 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 “Using Debugging Tools”?
Explore Python's debugging tools for efficient troubleshooting. 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 3 of 3, so you can start here or from the beginning and move at your own pace.
How long does the “Using Debugging Tools” 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
- Unit Testing with unittest
- Debugging Techniques
- Using Debugging Tools