Create a pandas and the following $3$ colums:

'row$\_$position': integers from $0$ to $99.$

'row$\_$index': integers from $1$ to $100.$

'random$\_$text' : any string of your choice $($can be the same for all rows$).$

Here is how the DataFrame should look like $($first $5$ rows$)$

Print the first and last $5$ rows of the DataFrame $($in two separate commands$).$

Set the values of the 'row$\_$index' column as of the dataframe. After this operation, the

index values should be numbers from $1$ to $100,$ and not from $0$ to $99($the default$).$

Create a selection of the first $7$ rows and the first $2$ columns of the DataFrame using

$\text{'}.$loc' and $\text{'}.$iloc' $($i$.$e$.$ please perform the selection twice, once with $\text{'}.$loc' and once with $\text{'}.$iloc'$).$

Add a new column named 'reverse$\_$index' that contains index values in the reverse order $($so$,$ basically,

the numbers from $100$ to $1).$

Delete the 'index' column from the data frame.

Create a selection of all rows with an index number multiple of $11($i$.$e$.$ rows with index $11,22,33,$

etc..$)$ and the first $2$ columns of the data frame.