This is a submission for DEV Computer Science Challenge v24.06.12: One Byte Explainer.
Explainer
Big O notation is indispensable when analyzing algorithms, because it offers a common, accepted way of measuring and comparing efficiency. Big O tells you how an algorithm grows with an increase in input size, helping you to optimize code to improve performance. This enabled developer to effectively analyze their code.
Additional Context
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