Bucket sort is a comparison-based sorting algorithm. A bucket sort is helpful when the input array is uniformly distributed. The bucket sort algorithm divides the unsorted array into several groups termed "buckets." When there are more than two values in the same bucket, they are sorted individually using any sorting algorithm, or bucket sort is used recursively. At last, all the individual buckets are combined to form a sorted array.
A distribution-based sorting method called bucket sort divides data into several categories known as buckets. Bucket Sort divides the components into many buckets according to their values rather than comparing each element with the others. After that, each bucket is sorted separately, typically using a different sorting algorithm like Insertion Sort or the built-in sorted() function in Python. The final sorted array is created by combining all of the sorted buckets.
When the input data is evenly distributed over a predetermined range, bucket sorting performs best. Although it may be modified for integers by employing a suitable bucket assignment approach, it is especially effective for sorting floating-point numbers between 0 and 1. Bucket Sort can perform exceptionally well for appropriate datasets since it reduces comparisons and sorts just small groups of elements.
