What is space complexity in data structures?
Space complexity refers to the amount of memory space required by an algorithm as a function of the size of the input data.
Can you explain the difference between time complexity and space complexity?
Sure! Time complexity measures the time an algorithm takes to complete, while space complexity measures the memory it uses.
Why is space complexity important in programming?
It's crucial because it helps developers understand the memory requirements of their algorithms, which can affect performance.
Can you give an example of a data structure with high space complexity?
An example is a hash table, which can use more memory than the actual data it stores due to its underlying array.
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