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DSA lessons (37/55)

DSA — Radix Sort

What is Radix Sort?

Sorts numbers digit by digit from least significant to most significant.

def counting_sort_by_digit(arr, exp):
    n = len(arr)
    output = [0] * n
    count = [0] * 10
    
    for num in arr:
        index = (num // exp) % 10
        count[index] += 1
    
    for i in range(1, 10):
        count[i] += count[i - 1]
    
    i = n - 1
    while i >= 0:
        index = (arr[i] // exp) % 10
        output[count[index] - 1] = arr[i]
        count[index] -= 1
        i -= 1
    
    for i in range(n):
        arr[i] = output[i]

def radix_sort(arr):
    max_val = max(arr)
    exp = 1
    
    while max_val // exp > 0:
        counting_sort_by_digit(arr, exp)
        exp *= 10
    
    return arr

Time Complexity

CaseComplexity
BestO(d * (n + k))
AverageO(d * (n + k))
WorstO(d * (n + k))

Where d is number of digits, k is base.

Characteristics

  • Stable sort
  • Not comparison-based
  • Works with integers
  • Good for fixed-length numbers

Mini Practice

  1. Implement radix sort
  2. Sort with different bases
  3. Handle negative numbers
  4. Compare with counting sort

Up Next

Continue with Bucket Sort — distribution-based sorting.

Related Topics

Frequently Asked Questions about Radix Sort

What is Radix Sort in DSA?

Radix Sort is a fundamental concept in DSA. This lesson explains it step by step with clear examples, making it easy for beginners to understand.

How do I learn Radix Sort?

Start by reading the explanation above, then try the code examples. Practice by modifying the examples and experimenting with different values. Hands-on practice is the best way to learn Radix Sort.

Why is Radix Sort important in DSA?

Radix Sort is essential for DSA development. Understanding this concept will help you write better code and solve real-world problems more effectively.