Learn to "read" code like a detective - essential skill for all programmers!
Loops handle repetitive tasks - like processing lists of data, counting items, or repeating actions until a condition is met.
Tracing loops helps you understand exactly how data changes with each repetition.
| Tool | Limitation | Why You Need Tracing |
|---|---|---|
| Debugger | Doesn't know where to look | You need to understand the flow |
| Unit Tests | Miss logic errors in edge cases | Tests don't explain WHY things are wrong |
| Static Analyzer | Can't understand business logic | Only you know what code should really do |
A sequence is just a list of things:
A for loop goes through each item in your list, one by one.
Enter items (comma separated):
Examples:
Tracing is like reading a recipe while cooking:
The Task: Find the smallest number in a list
Given: [24, 16, 35, 42, 7] → Should find: 7
| Step | lowest | Condition | [0] | [1] | [2] | [3] | [4] |
|---|---|---|---|---|---|---|---|
| 1 | 24 | 24 | 16 | 35 | 42 | 7 |
The code doesn't find the correct smallest number. Can you figure out why?
Look at the trace table above. What should the comparison operator be?
Even AI systems need debugging! When an AI makes wrong predictions, we need to trace through its "thinking" to find why.
Imagine an AI that should tell cats from dogs, but it keeps saying cats with collars are dogs.
Why? Let's trace through what it learned:
Enter features (1 = yes, 0 = no):
| Step | Feature | Value | Cat Weight | Dog Weight | Cat Contribution | Dog Contribution | Cat Score | Dog Score |
|---|