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Selection Sort Algorithm: A Simple and Efficient Sorting Technique in Python

Sorting algorithms are essential in computer science, used to organize data and optimize search times. There are many different types of sorting algorithms, each with its own strengths and weaknesses. One of the simplest and most widely used sorting algorithms is Selection Sort. In this article, we will explore the Selection Sort algorithm in detail, including how it works and how to implement it in Python.


What is Selection Sort?

Selection Sort is a simple sorting algorithm that works by repeatedly finding the minimum element in an unsorted array and moving it to the beginning of the array. The algorithm then repeats this process with the remaining unsorted elements until the entire array is sorted. The algorithm is called "Selection" sort because it repeatedly selects the smallest element and moves it to the front of the array.


How Does Selection Sort Work?

Selection Sort is a straightforward algorithm. Here is a step-by-step explanation of how it works:


Step 1: Find the minimum element in the unsorted part of the array.

Step 2: Swap the minimum element with the first element in the unsorted part of the array.

Repeat steps 1-2 for the remaining unsorted elements until the entire array is sorted.


Let's take an example array to see how Selection Sort works:

[5, 3, 8, 6, 7, 2]

First iteration:

[2, 3, 8, 6, 7, 5]

Second iteration:

[2, 3, 5, 6, 7, 8]

The array is now sorted.


Implementing Selection Sort in Python

Now that we understand how Selection Sort works, let's see how to implement it in Python. Here is the code for Selection Sort in Python:



def selection_sort(array):

    n = len(array)

    for i in range(n):

        min_index = i

        for j in range(i+1, n):

            if array[j] < array[min_index]:

                min_index = j

        array[i], array[min_index] = array[min_index], array[i]


The function selection_sort takes an array as input and iterates through the array using two nested loops. The outer loop iterates over each element in the array, while the inner loop iterates over the unsorted elements to the right of the current element. The function then finds the minimum element in the unsorted part of the array and swaps it with the first element in the unsorted part of the array. This process is repeated until the entire array is sorted.

To use the function, simply create an array and pass it as an argument to the selection_sort function. Here is an example usage:



array = [5, 3, 8, 6, 7, 2]

selection_sort(array)

print("Sorted array:", array)

In this example, we define the selection_sort function that takes an array as input and sorts it using the Selection Sort algorithm. We then create an example array and pass it to the selection_sort function. Finally, we print the sorted array using the print function.


Conclusion

Selection Sort is a simple and efficient sorting algorithm that is widely used in computer science. It is easy to understand and implement, making it a great choice for small to medium-sized arrays. However, for larger arrays, Selection Sort can be less efficient than other sorting algorithms such as Quick Sort or Merge Sort.

We hope this article has helped you understand the Selection Sort algorithm and how to implement it.


Here is detail on each sorting algorithm in python

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