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Dry Run Algorithms With Trace Tables

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Why Trace Tables

**Objective**: Learn to dry run algorithms with trace tables before trusting your code. By the end, you'll know how to: - Track variable values by hand. - Catch logic errors before running tests. - Explain an algorithm step-by-step in an interview. - Use dry runs as the bridge between brute force thinking and performance analysis.

Now that you've practiced turning problem statements into inputs and outputs in Turn Problem Statements Into Inputs and Outputs, and you've seen why brute force is a useful starting point in Coming Up With Brute Force Algorithms With Examples, we're ready for the next skill: proving to yourself that the algorithm actually works.

A dry run is a manual simulation of code.

A trace table is the written record of that simulation.

Instead of saying, "I think this works," you walk through a small input and record what changes at every meaningful step.

This is especially useful when you're nervous, debugging, or explaining your solution to an interviewer.

Why Trace Tables

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