Here is an example implementation of Bubble sort in Python смотреть онлайн

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Bubble sort is a simple sorting algorithm that repeatedly steps through the list to be sorted, compares each pair of adjacent items and swaps them if they are in the wrong order. The pass through the list is repeated until no swaps are needed, which indicates that the list is sorted.

Here is an example implementation of Bubble sort in Python.

It is important to note that bubble sort is not an efficient sorting algorithm. It has a time complexity of O(n degree 2) which makes it very slow for large datasets.

Bubble sort works by repeatedly stepping through the list to be sorted, comparing each pair of adjacent items and swapping them if they are in the wrong order.

The basic idea behind bubble sort is to compare each element of the list with its adjacent element and swap them if they are not in the correct order. The algorithm repeatedly goes through the list until no more swaps are needed.

It can be implemented in a variety of ways, but the basic idea remains the same. One common implementation is to loop through the list multiple times, each time moving the largest element to the end of the list. This is known as the "bubbling up" of the largest elements to the end of the list.

However, bubble sort is not an efficient sorting algorithm. It has a time complexity of O(n degree 2) which makes it very slow for large datasets. Because of this, it is generally not recommended for use in production systems where large amounts of data need to be sorted.

Instead, other algorithms such as quicksort, merge sort, or heapsort are more efficient and are preferred for sorting large datasets. These algorithms have a time complexity of O(n log n) which makes them much faster than bubble sort for large datasets.

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