What is the difference between time complexity and space complexity?

Time complexity measures how the runtime of an algorithm grows relative to input size, expressed using Big O notation (e.g., O(n), O(n^2)). Space complexity measures how memory usage grows with input size, including auxiliary space used by the algorithm. Both are crucial for algorithm analysis - time complexity affects performance, while space complexity affects memory requirements and can be traded off with time.