import the given dataset (kane.csv) into python

1. extract the first 3 columns
2. extract the following columns - name, height and sex into a new dataset.
3. show all the rows where age is less than 15 and sex is Female
4. show all people whose height is more than 60 and sex male. show only name height and name.
5. show if age is more than 14 or they are female
6  show all people whose age is either 12 or 14 or 16
7. show the rows where the name Alfred or Jane or Philip
8. extract first 2 rows of kane; name them as a
9. extract last 2 rows of kane; name them as b
10. append a and b

