Description
Estimate time complexity empirically by running Python functions with different input sizes and fitting observed timings. It helps developers explore whether behavior looks closer to constant, linear, quadratic, or other growth patterns.
Empirical timing is evidence, not proof. Control input generation, machine load, and measurement noise before drawing conclusions.