our first task is to write a function callled "Get$\_$Final$\_$Perc" that has the following three inputs:

HW$\_$weight: The weight towards the final grade of the score on all homeworks.

Exam$\_$weight: The weight towards the final grade of the midterm and final. The midterm and final exams are weighted equally

Part$\_$weight: The weight towards the final grade of the score on all participation scores.

IMPORTANT: For the HW and participation categories, the final percentage is $($# points earned$)/($# of points possible$).$ So$,$ for example, if there were two HWs and you got $10/10$ and $7/8,$ your final percentage on HW would be $17/18.$

Inside of this function, you should

Read in the data set into a dataframe called df$\_$grades.

Add to df$\_$grades a column labeled "Final$\_$perc", which gives the final percentage $($this should be between $0$ and $100$ for each student$)$ achieved by each student given the specified weighting scheme that is given as input. Note that it may be helpful to add other columns along the way; this is okay.

A few other things that you must keep in mind when writing this function

You should only consider students who have a score for all assignments $($you can delete the rows corresponding to students with missing scores for any assignment$).$ Hint: Recall that blanks in a csv are automatically read in as NAs.

You may assume that for each assignment, there was at least one student who received $100\%$ on the assignment. Furthermore, there was no extra credit on any assignment. Hint: this is how you can figure out the max score on each assignment.