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Numpy circular arrays are arrays that are circular, meaning that the first element of the array is adjacent to the last element of the array. This allows for efficient circular operations, such as rotating the array, without the need for creating a new copy of the array. Numpy provides a special data structure called a "circular buffer" that enables creation of circular arrays. These can be useful in many applications, such as signal processing, circular queues, and circular convolution.