# Data Structures & Algorithms in Python: Sorting Algorithms

Python 3.7    |    Beginner
• 11 videos | 1h 14m 57s
• Includes Assessment
Likes 182
In this 11-video course, learners explore workings of some of the most widely used sorting algorithms in Python and examine how their performance affects various measures. Key concepts covered here include various properties of sorting algorithms when selecting the right one for your data; the operations involved when sorting a list of values by using the selection sort algorithm; and the process of a bubble sort when applied to a list of values. Next, you will learn about the performance of the bubble sort on various measures such as time, space, and number of swaps; how to describe the steps involved in performing an insertion sort and compare it to the bubble sort; and learn the workings of the shell sort and the performance metrics of this divide and conquer algorithm. Finally, you will learn the process of sorting a list of elements using merge sort and list the complexity of this algorithm on various measures; and learn how the quicksort algorithm partitions and sorts a list of elements.

## WHAT YOU WILL LEARN

• discover the key concepts covered in this course identify the various properties of sorting algorithms that must be considered when selecting the right one for your data describe the operations involved when sorting a list of values using the Selection Sort algorithm summarize the process of a Bubble Sort when applied to a list of values recall the performance of the Bubble Sort on various measures such as time, space, and number of swaps describe the steps involved in performing an Insertion Sort and compare it to the Bubble Sort
• outline the workings of the Shell Sort and recall the performance metrics of this divide and conquer algorithm describe the process of sorting a list of elements using Merge Sort and list the complexity of this algorithm on various measures describe how the Quicksort algorithm partitions and sorts a list of elements recall the performance metrics of the Quicksort algorithm describe considerations for picking a sorting algorithm, list the properties of the Insertion Sort algorithm, and summarize the Shell Sort algorithm

## IN THIS COURSE

• During this video, you will learn how to identify the various properties of sorting algorithms that you must consider when selecting the right one for your data.
• 3.  The Selection Sort
After completing this video, you will be able to describe the operations involved when sorting a list of values using the Selection Sort algorithm.
• 4.  The Bubble Sort - Part 1
Find out how to summarize the process of a Bubble Sort when applied to a list of values.
• 5.  The Bubble Sort - Part 2
Upon completion of this video, you will be able to recall the performance of the Bubble Sort on various measures such as time, space, and number of swaps.
• 6.  The Insertion Sort
After completing this video, you will be able to describe the steps involved in performing an Insertion Sort and compare it to the Bubble Sort.
• 7.  The Shell Sort
In this video, you will learn how to outline the workings of the Shell Sort and recall the performance metrics of this divide and conquer algorithm.
• 8.  The Merge Sort
After completing this video, you will be able to describe the process of sorting a list of elements using Merge Sort and list the complexity of this algorithm on various measures.
• 9.  The Quicksort - Part 1
After completing this video, you will be able to describe how the Quicksort algorithm partitions and sorts a list of elements.
• 10.  The Quicksort - Part 2
After completing this video, you will be able to recall the performance metrics of the Quicksort algorithm.
• 11.  Exercise: Sorting Algorithms
Upon completion of this video, you will be able to describe considerations for picking a sorting algorithm, list the properties of the Insertion Sort algorithm, and summarize the Shell Sort algorithm.

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