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This video is based on Selection sort Algorithm. This selection sort in data structures tutorial make sure that sorting algorithms explained well to help beginners learn Selection sort. The video also covers practical demo for a better learning experience.

This video will cover the following concepts:

00:00 Introduction to Selection Sort
00:42 What is Selection sort
01:08 Selection Sort Algorithm
01:41 Implementation of Selection Sort
08:06 Conclusion to Selection Sort

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Selection sort is an effective and efficient sort algorithm based on comparison operations.
It adds one element in each iteration.
You need to select the smallest element in the array and move it to the beginning of the array by swapping with the front element.
You can also accomplish this by selecting the most potent element and positioning it at the back end.
In each iteration, selection sort selects an element and places it in the appropriate position.

How does Selection Sort work?

Selection sort works by taking the smallest element in an unsorted array and bringing it to the front. You’ll go through each item (from left to right) until you find the smallest one. The first item in the array is now sorted, while the rest of the array is unsorted.

What Is a Data Structure?
The short answer is: a data structure is a specific means of organizing data in a system to access and use. The long answer is a data structure is a blend of data organization, management, retrieval, and storage, brought together into one format that allows efficient access and modification. It’s collecting data values, the relationships they share, and the applicable functions or operations.

Why Is Data Structure Important?
The digital world processes an increasing amount of data every year. According to Forbes, there are 2.5 quintillion bytes of data generated daily. The world created over 90 percent of the existing data in 2018 in the previous two years! The Internet of Things (IoT) is responsible for a significant part of this data explosion. Data structures are necessary to manage the massive amounts of generated data and a critical factor in boosting algorithm efficiency. Finally, since nearly all software applications use data structures and algorithms, your education path needs to include learning data structure and algorithms if you want a career as a data scientist or programmer. Interviewers want qualified candidates who understand how to use data structures and algorithms, so the more you know about the concepts, the more comfortably and confidently you will answer data structure interview questions.

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