Big O Short Explanation

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

No additional context.