Big O Notation is a mathematical way of describing how the performance of an algorithm (specifically its time complexity or space complexity) grows as the size of the input increases. It gives you an upper limit on the growth rate, helping to analyze the efficiency of algorithms.
**Key Points:**
1. **Growth Rate**: Big O focuses on the most significant factors that affect this growth. It ignores constants and lower-order terms, which have less


