Difference between time complexity and space complexity. Explain with example in such a way that you are teaching someone who doesn't know anything about it

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Time complexity refers to the amount of time taken by an algorithm to run, while space complexity refers to the amount of memory used by an algorithm.

Time complexity is measured by the number of operations an algorithm performs, while space complexity is measured by the amount of memory an algorithm uses.
An algorithm with a time complexity of O(n) will take longer to run as the input size increases, while an algorithm with a space complexity of O(n) will use more memory as the input size increases.
For example, a linear search algorithm has a time complexity of O(n) and a space complexity of O(1), while a merge sort algorithm has a time complexity of O(n log n) and a space complexity of O(n).

Difference between time complexity and space complexity. Explain with example in such a way that you are teaching someone who doesn't know anything about it

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