Radix Sort Algorithm | Radix Sort In Data Structure | Sorting Algorithms Explained | Simplilearn
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 Published On Aug 1, 2021

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

This video will cover the following concepts:

00:00 Introduction to Radix Sort Algorithm
00:41 What is Radix Sort Algorithm
01:11 Radix sort Algorithm
01:46 Implementation of Radix Sort Algorithm
13:23 Conclusion of Radix Sort Algorithm

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What is Radix Sort?
The radix sort algorithm is a non-comparative sorting method. It eliminates comparison by creating and dividing components into boxes based on their radix.


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 are Data Structures 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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