This is a submission for DEV Computer Science Challenge v24.06.12: One Byte Explainer.

Explainer

Big O Notation: Defines algorithm efficiency as input size increases. O(1) is constant access, like finding an index. O(n) linear, like a list search. O(n^2) quadratic, like sorting. Essential for predicting computational resources.

Additional Context

Composed by two AI personas of mine, Conceptor the Idea Condensor and Hyperion the STEM Explainer, acting in concert on the OpenAI Playground.