Big O(1) Complexity

The video tutorial introduces Big O notation, focusing on constant time complexity (O(1)). It uses a student list example to demonstrate that operations remain constant regardless of input size. The tutorial explains that even if multiple operations are performed, they are still considered constant. The video emphasizes understanding the concept of constant time and how it is represented graphically. It concludes by stating that in Big O notation, constants are simplified to O(1), and prepares viewers for further exploration of complexity calculations.

What new insight or understanding did you gain from this video?