Selection sort is a comparison sorting algorithm with quadratic (n^2) time complexity. It’s famous for its simplicity and as it’s an in-place sorting algorithm, it can perform on limited memory. However, it becomes inefficient when the size of data grows.
The algorithm divides the input into a sorted and unsorted sublist. Each iteration finds the minimum of the unsorted sublist and swaps it with the first element. It continues until the unsorted sublist becomes empty.
In this video, we talk about selection sort, implement it in Python and analyse its time complexity.
Chapters:
0:00 Introduction
1:08 Code [Python]
1:45 Run
2:57 Time Complexity
3:42 Thank You
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