pandas groupby comparison

import pandas as pd

data = [['Alex',10],['Bob',12],['Clarke',13],['Alex',12],['Bob',18],['Clarke',11],['Alex',10],['Bob',12],['Clarke',13],['Alex',10],['Bob',14],['Clarke',16]]
df = pd.DataFrame(data,columns=['Name','Score'])

# create groupby variable that groups Scores by Name
groupby_score = df["Score"].groupby(df["Name"]) #view grouping with list(groupby_score)

# loop over each group and and print
for groups, age in groupby_score:
    print(groups, age)

# loop to check if difference of all scores in group are within a range of 5
# Ex: Alex's scores are 10, 12, 10, 10. Because the max difference between any two scores is 2, this group is within range