Quadratic complexity describes algorithms whose runtime grows with the square of input size, common in nested loops and pairwise comparisons. It helps developers identify performance bottlenecks in sorting or data processing tasks. Programmers and data scientists benefit most by optimizing such code, avoiding inefficiency with large datasets.
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