A beginner-friendly explanation of Big O notation, focusing on O(1) constant time complexity. Covers common complexity classes (O(n), O(log n), O(n²)) and clarifies that constant time does not mean instantaneous. Uses a practical JavaScript example showing that linear array search can sometimes outperform hash map lookups for small datasets.
•1m watch time
Sort: