use python

Given three floating-point numbers x, y, and z, we calculate their population standard deviation as follows: first compute the average of the three numbers, then compute the squares of the differences of x,y and z with the average value, and finally calculate the square root of the average of the squared differences. Output the final standard deviation value (for instance, stored in variable, std_deviation) as a floating-point with three digits after the decimal point print('{:. 3f}'.format(std_deviation)) Ex: If the input is: 5.0 3.0 7.0 Then the output is obtained by calculating the average (5.0), then computing the squared differences with the average (0.0, 4.0, and 4.0 respectively), and finally calculating the square root of the average of the differences (i.e., square root of (8 divided by 3.) which works out to 1.633 to three decimal places after the decimal point). 1.633