Map Reduce code in python for getting highest score

My Data set : ( scores.dat )

sachin,1996,86

sachin,1996,75

sachin,1996,145

sachin,1996,98

sachin,1997,97

sachin,1997,65

sachin,1996,98

sachin,1996,54

sachin,1998,98

sachin,1998,53

sachin,1997,34

sachin,1997,54

sachin,1997,54

sachin,1997,23

nikhil,1996,56

nikhil,1996,54

nikhil,1997,43

nikhil,1998,89

nikhil,1996,32

nikhil,1997,54

nikhil,1998,45

nikhil,1996,32

nikhil,1996,43

akash,1996,122

akash,1996,98

akash,1997,12

akash,1998,23

akash,1996,87

akash,1997,65

akash,1998,65

akash,1996,32

akash,1996,73

mapper.py ( /user/hduser/mapper.py )


#!/usr/bin/env python

import sys

for line in sys.stdin:
   (val1,val2,val3) = line.strip().split(",")
   print "%s\t%s" % (val1, val3)

reducer.py ( /user/hduser/reducer.py )


#!/usr/bin/env python

from operator import itemgetter
import sys

( last_name , max_val ) = ( None , -sys.maxint )

# input comes from STDIN
for line in sys.stdin:
    # remove leading and trailing whitespace
    name,val = line.strip().split("\t")

    if last_name and last_name != name:
print "%s\t%s" %(last_name , max_val)
(last_name , max_val) = (name, int(val))
    else:
(last_name , max_val) = (name , max(max_val,int(val)))

if last_name:
    print "%s\t%s" % (last_name,max_val)

Test first with in unix shell:
cat scores.dat | python mapper.py | sort -k1,1 | python reducer.py

akash    122
nikhil     89
sachin    145

Map reduce  command for running the job :
${HADOOP_HOME}/bin/hadoop jar ${HADOOP_HOME}/contrib/streaming/hadoop-*streaming*.jar -file /home/hduser/mapper.py -mapper /home/hduser/mapper.py -file /home/hduser/reducer.py -reducer /home/hduser/reducer.py -input /user/hduser/scores -output /user/hduser/scores-out