Big O(n!) Complexity

The video tutorial discusses the rare and impractical complexity of O(N!) or factorial time complexity. It explains that this complexity involves adding a nested loop for every element in an array, making it highly inefficient and almost impossible to encounter in real-world coding scenarios. The tutorial emphasizes the importance of being aware of this complexity, despite its impracticality, and concludes with a reminder of its significance in understanding scalability issues.

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