Part $1$: Using Numpy and Pandas to create a DataFrame

The dataset should contain $5$ columns for $10($rows$)$ randomly generated pairs of dice rolls:

Column $1-$Dice Pair: Consists of tuples containing a pair of numbers when two dice numbered $1-6$

Column $2-$Sum

Column $3-$Product

Column $4-$Max

Column $5-$Min

How can we create the dataframe:

Define the number of dice rolls $($in other words number of rows$)$ you want to generate by setting the value of n$.$ Use NumPy's randint function $($np$.$random.randint$())$ to generate an array of n rows and $2$ columns representing two dice rolls. The values generated will be between $1$ and $6($inclusive$)$

Then, create a Python dictionary that contains the key$-$value pairs for each column you want to create in the DataFrame. Ex: data Dice$\_$roll : $,$ Sum : $,$Product: $,.....$