1.1 Input arrays: a. Create and initialize 2D NumPy arrays (for input and output data) b. Generate a 2D random array with normal (Gaussian) distribution for the input c. Generate another input array using linspace

1.2Define a function and use it to perform some computations using the input arrays, including:

a. for loop

b. if conditions

1.3 Plot (lineplot, scatterplot, etc) the output vs input using seaborn/matplotlib (lines and marker styles/colors can be added for clarity)

1.4Compute descriptive statistics on the output arrays:

a. count (total and nonzeros)

b minimum, maximum

c. mean, median

d. standard deviation

1.5Save the numpy arrays

Note: print the outputs using the 'print' command