How I Debug as a Beginner -Without Feeling Lost

Featured image showing the word "DEBUGGING" with a magnifying glass highlighting the word "BUG," representing a beginner's approach to debugging Python code without feeling overwhelmed.

A crucial part of programming is debugging. As a beginner, this will test your patience. Imagine running a piece of code, and instead of the code returning what you had hoped for, Python returns error messages- a couple of red syntaxes asking you to go back and crosscheck your code.

This can be overwhelming for a beginner.

There was a time when my code broke—and I had no idea what to do next.

No direction.
No system.
Just confusion.

It makes you feel unsure of steps to take, afraid that you might break a thing, intermittent confusion, lack of confidence and more are part of my initial encounters with debugging.


The Old Way

When something didn’t work, I would:

  • change random lines
  • delete things
  • try again

Sometimes it worked.

But I didn’t know why. I would mark what I did with a view to replicating it next time. Since I didn’t know why it broke, it ended up not working in another problem, while the problems may look similar, minor difference may account for the failure in a new situation even if the code generally looks similar.That dot or underscore might be the reason this time.


The Turning Point

I realized debugging is not guessing. Debugging should not feel intimidating. It is how problems are resolved in Python. Both professionals and beginners, alike encounter it. Experienced programmers are accustomed to it. But for a beginner, it usually appears intimidating at first.

It is a process- one that requires extra care and attention.


My Beginner Debugging Approach

An image showing someone on a workspace typing on keyboard with an error texts on the screen depicting occurrence of Python error message and attention to resolve it.

Now, I follow simple steps:

  1. Read the error message
  2. Locate the line
  3. Check what I expected vs what happened
  4. Test small changes

Using Print as a Tool

One of the most powerful things I learned: is using.

print() is not just for output

It helps you:

  • track values
  • see flow
  • understand behavior
  • check object type

This function became a very strategic debugging tool for me. The print() lets you know the object you have at hand. Because each object has its methods and attributes knowing this enables you to determine which attribute or action that you would like it to perform. Many code breaks because of this mix up.

Breaking the Problem Down

Instead of fixing everything at once:

I focus on one small part and gradually move to the rest until I can identify the problem.


What I Learned From This Stage

  • Debugging is a skill
  • Small steps beat random fixes
  • Understanding grows through fixing
  • That ” Patience is a conquering virtue” will be tested more often here. You need it to read carefully in between the lines

Where This Leads Next

Once you can debug…

You begin to feel something new:

Control

Confidence

And that is part of what you need. That Control, that confidence engenders small wins that compound with time.


Tech Journey — Season 1, Episode 13

Stage: Logic, Errors & the Terminal

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