diff --git a/Sorting/Radix Sort/in_Python.py b/Sorting/Radix Sort/in_Python.py
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+++ b/Sorting/Radix Sort/in_Python.py	
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+# Time complexity =  O(d*(n+b))
+# d = number of cycles
+# b = base value
+
+# Space Complexity = O(n+b)
+# two auxiliary arrays of size b (base) and of size n (number of elements)
+
+def countingSort(arr, exp1):
+
+    # n = size of the array
+    n = len(arr)
+
+    # Initialize output array that will return sorted array
+    output = [0] * (n)
+
+    # count array that store occurrences
+    count = [0] * (10)
+
+    # Loop through and store the count of number into array
+    for i in range(0, n):
+        index = (arr[i]/exp1)
+        count[int((index)%10)] += 1
+
+    # Eg. count[0] will store counts of 0 in the array
+    for i in range(1,10):
+        count[i] += count[i-1]
+
+    # Output array building
+    i = n-1
+    while i>=0:
+        index = (arr[i]/exp1)
+        output[ count[ int((index)%10) ] - 1] = arr[i]
+        count[int((index)%10)] -= 1
+        i -= 1
+
+    # Copy array to output array
+    i = 0
+    for i in range(0,len(arr)):
+        arr[i] = output[i]
+
+def radixSort(arr):
+
+    max1 = max(arr)
+
+    #Do counting sort for every digit. exp is 10^i where i is current digit
+    exp = 1
+    while max1/exp > 0:
+        countingSort(arr,exp)
+        exp *= 10
+
+# Driver code
+
+# Using random generator to generate number ranging 1 - 30 and add into list
+import random
+randomlist = []
+for i in range(0,5):
+    n = random.randint(1,30)
+    randomlist.append(n)
+
+# Printing statement
+print('Before sorting:', randomlist)
+
+radixSort(randomlist)
+print('After sorting:', randomlist)
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