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Time complexity in data structures (DS) refers to the computational complexity that describes the amount of time an algorithm takes to complete as a function of the length of the input. It is typically expressed using Big O notation, which provides an upper bound on the time required, allowing for the comparison of different algorithms' efficiency. Time complexity helps evaluate the performance of data structure operations, such as insertion, deletion, and searching, under varying conditions. Understanding time complexity is essential for selecting appropriate data structures for specific applications.

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