Constant time complexity refers to an algorithm's performance that remains the same regardless of the size of the input data. This means that operations can be executed in a fixed number of steps, leading to predictable and efficient execution times. This is a crucial concept in understanding the efficiency of various data structures, especially when implementing techniques like hashing.
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