Mean-Variance-Standard Deviation Calculator:-
Create a function named calculate() in meanvarstd.py that uses Numpy to output the mean,
variance, standard deviation, max, min, and sum of the rows, columns, and elements in a 3 x 3 matrix.
The input of the function should be a list containing 9 digits. The function should convert the list into a 3 x 3 Numpy array,
and then return a dictionary containing the mean, variance, standard deviation, max, min, and sum along both axes and for the flattened matrix.
This replit consist of while loops and for loops and the goal is to display all the numbers from 1-100 except for one number and have the user input the missing number. The only way to exit the loop is to provide the missing number.