In coding interviews, strong candidates do more than write code that works once. They can diagnose incorrect behavior, isolate root causes, and improve inefficient solutions without changing correctness.
Explain how you would approach debugging and optimizing algorithmic code in Python. Your answer should cover:
Focus on interview-style problems involving arrays, strings, hash tables, and common algorithms. The interviewer expects a practical framework: how you inspect assumptions, trace execution, compare brute-force and optimized approaches, and communicate trade-offs. You do not need to discuss IDE-specific tools in depth, but you should mention useful debugging techniques such as logging, small test cases, invariants, and complexity analysis.