Can you explain what Big O Notation is?
Sure! Big O Notation is a mathematical concept used to describe the performance or complexity of an algorithm.
Why is it important to understand Big O Notation?
It's important because it helps you evaluate how an algorithm will scale with larger inputs, which is crucial for efficiency.
Can you give me an example of different Big O complexities?
Of course! For example, O(1) is constant time, O(n) is linear time, and O(n^2) is quadratic time.
How do I determine the Big O of an algorithm?
You analyze the algorithm's loops and recursive calls to see how the number of operations grows with input size.
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