In this post, we will see the Python program for calculating the median of a given integer list.

**Examples:**

Given list: [10, 20, 30, 40, 0, 12, 100]

Median of the given data is : 20Given list: [10, 20, 30, 40, 0, 12, 100, 200]

Median of the given data is : 25.0

Now, let’s see the Python code:

# define a user defined function for # calculating median of a given list # of integers def median(integer_list): # length of given list length = len(integer_list) # check for length of the list # if list is of even length # then median value find this way if length % 2 == 0: n1 = integer_list[ (length // 2) - 1 ] n2 = integer_list[ length // 2 ] median_value = (n1 + n2) / 2 # if list is of odd length else: median_value = integer_list[ ((length) // 2 )] # returning the median value return median_value # main code if __name__ == "__main__" : # input list - odd length integer_list_1 = [10, 20, 30, 40, 0, 12, 100] print("Given list is:", integer_list_1) # sort the given list of integers # in ascending order integer_list_1.sort() print("Performing sorting in Ascending order:", integer_list_1) print ("Median of the given data is :" , median(integer_list_1)) # input list - even length integer_list_2 = [10, 20, 30, 40, 0, 12, 100, 200] print("\nGiven list is:", integer_list_2) # sort the given list of integers # in ascending order integer_list_2.sort() print("Performing sorting in Ascending order:", integer_list_2) print ("Median of the given data is :" , median(integer_list_2))

**Output:**

Given list is: [10, 20, 30, 40, 0, 12, 100] Performing sorting in Ascending order: [0, 10, 12, 20, 30, 40, 100] Median of the given data is : 20 Given list is: [10, 20, 30, 40, 0, 12, 100, 200] Performing sorting in Ascending order: [0, 10, 12, 20, 30, 40, 100, 200] Median of the given data is : 25.0