selection sort in python explained with example and code

selection sort is a simple comparison-based sorting algorithm. it's known for its straightforward implementation and ease of understanding, making it an excellent choice for those new to algorithms and data structures. in this tutorial, we'll explore how selection sort works, step by step, and provide an example to illustrate the process.
selection sort works by repeatedly finding the minimum element from the unsorted part of the list and placing it at the beginning. the process is repeated until the entire list is sorted. here's a step-by-step breakdown:
initial unsorted list: start with an unsorted list of elements.
finding the minimum: from the unsorted portion of the list, find the minimum element.
swapping: swap this minimum element with the first element of the unsorted part.
moving the boundary: move the boundary between the sorted and unsorted parts of the list one step to the right.
repeat: repeat the process for the remaining unsorted part of the list until the entire list is sorted.
let's take a simple list as an example to understand how selection sort works:
example list: [29, 10, 14, 37, 14]
first pass:
second pass:
third pass:
fourth pass:
final sorted list: [10, 14, 14, 29, 37]
selection sort is best used when memory space is a concern, and the list to be sorted is relatively small. its simplicity and ease of implementation make it a good choice for educational purposes or when a basic understanding of sorting algorithms is required.
selection sort is a fundamental sorting algorithm that's easy to grasp and implement. while it may not be the most efficient for large datasets, it provides a clear understanding of the basic principles of sorting algorithms.
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