1. Read in the college dataset with the institution name as the index and then select every other row from index 10 to 20:

>>> college = pd.read_csv('data/college.csv', index_col='INSTNM')
>>> college[10:20:2]

2. This same slicing exists with Series:

>>> city = college['CITY']
>>> city[10:20:2]
INSTNM
Birmingham Southern College              Birmingham
Concordia College Alabama                     Selma
Enterprise State Community College       Enterprise
Faulkner University                      Montgomery
New Beginning College of Cosmetology    Albertville
Name: CITY, dtype: object

3. Both Series and DataFrames can slice by label as well with just the indexing operator:

>>> start = 'Mesa Community College'
>>> stop = 'Spokane Community College'
>>> college[start:stop:1500]

4. Here is the same slice by label with a Series:

>>> city[start:stop:1500]
INSTNM
Mesa Community College                            Mesa
Hair Academy Inc-New Carrollton         New Carrollton
National College of Natural Medicine          Portland
Name: CITY, dtype: object