Radix Sort : Interview Questions, Explanation, Complexity & Dry Run

Learn *Radix Sort* with a clear step-by-step explanation, visual demonstration, and simple Python implementation. In this video, you’ll learn: • How Radix Sort processes numbers digit by digit • How elements are sorted by ones, tens, and hundreds places • Why stable Counting Sort is used internally • Step-by-step dry run with an example • Python implementation of Radix Sort • Time and space complexity • Important interview points and limitations For \(n\) elements, \(d\) digits, and a digit range of \(k\), Radix Sort takes \(O(d(n+k))\) time and uses \(O(n+k)\) auxiliary space. For decimal numbers, \(k\) is always 10. This implementation focuses on non-negative integers and uses Least Significant Digit, or LSD, Radix Sort. Perfect for DSA beginners, coding interviews, university exams, and competitive programming preparation. If you find this video helpful, please like, share, and subscribe for more algorithm tutorials! #RadixSort #SortingAlgorithms #Python #PythonProgramming #DataStructures #Algorithms #DSA #CodingInterview #CompetitiveProgramming