Sorting Algorithms with Python

Implementation of Sorting Algorithms with Python

In this article, I’ll walk you through the introduction and implementation of sorting algorithms with the Python programming language. Sorting algorithms are categorized based on their memory usage, complexity, recursion, whether they are based on comparisons, among other considerations.

Sorting Algorithms with Python

Whenever data is collected, there comes a point where it becomes necessary to sort the data. The sort operation is common to all datasets, whether it’s a set of names, phone numbers, or items on a simple to-do list.

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After sorting the data, it becomes very easier to use searching algorithms on a collection of items. There are three types of sorting algorithms:

  1. Bubble Sort
  2. Selection Sort
  3. Insertion Sort

Bubble Sort

The idea behind a bubble sorting algorithm is very simple. In an unordered list, the bubble sort algorithm compares adjacent items in the list, each time, putting in the correct order of magnitude, only two items. This algorithm is based on an exchange procedure.

Let’s see how to implement the Bubble sort algorithm using Python:

Sorted array using Bubble Sort Algorithm : 
32
34
56
64
67
78
98

Insertion Sort

The way of swapping adjacent items for sorting a list of items can also be used to implement insertion sorting algorithm. In the insertion sort algorithm, we assume that some part of the list has already been sorted, while the other part remains unsorted.

With this assumption, we walk through the unsorted part of the list, selecting one item at a time. With this element, we step through the sorted part of the list and insert it in the correct order so that the sorted part of the list remains sorted.

Now let’s see how to implement the Insertion sort with Python:

Sorted array using Insertion Sort algorithm : 
23
34
34
56
65
76

Selection Sort

Another popular sorting algorithm is sort by selection. The selection sort is very simple to understand, but also inefficient, with its worst and best asymptotic values.

It starts by finding the smallest element of an array and interchanging it with data, for example, at array index [0]. The same operation is performed a second time; however, the smallest item in the rest of the list after finding the first smallest item is interchanged with the data at index [1].

Now let’s see how to implement this sorting algorithm with Python:

Sorted array using Bubble Sort Algorithm : 
32
34
56
64
67
78
98

So these were the implementation of sorting algorithms with Python programming language. I hope you liked this article on Sorting algorithms with Python. Feel free to ask your valuable questions in the comments section below.

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Aman Kharwal

I am a programmer from India, and I am here to guide you with Data Science, Machine Learning, Python, and C++ for free. I hope you will learn a lot in your journey towards Coding, Machine Learning and Artificial Intelligence with me.

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