Can you explain what time complexity is?
Time complexity is a computational concept that describes the amount of time an algorithm takes to complete as a function of the length of the input.
Why is time complexity important in programming?
It's crucial because it helps developers understand the efficiency of algorithms, especially with large data sets.
Can you give me an example of different time complexities?
Sure! For example, a linear search has a time complexity of O(n), while a binary search has a time complexity of O(log n).
What does O(n) and O(log n) mean?
O(n) means the time grows linearly with the input size, while O(log n) means the time grows logarithmically, which is much faster for large inputs.
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