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custom data objects

It’s time to apply what you now know about Python’s dictionary to your code. Let’s continue to
concentrate on Sarah’s data for now. Strike out the code that you no longer need and replace it
with new code that uses a dictionary to hold and process Sarah’s data.
def sanitize(time_string):
if '-' in time_string:
splitter = '-'
elif ':' in time_string:
splitter = ':'
else:
return(time_string)
(mins, secs) = time_string.split(splitter)
return(mins + '.' + secs)

def get_coach_data(filename):
try:
with open(filename) as f:
data = f.readline()
return(data.strip().split(','))
except IOError as ioerr:
print('File error: ' + str(ioerr))
Strike out the code
you no longer need. return(None)

sarah = get_coach_data('sarah2.txt')
(sarah_name, sarah_dob) = sarah.pop(0), sarah.pop(0)
print(sarah_name + "'s fastest times are: " +
Add your dictionary str(sorted(set([sanitize(t) for t in sarah]))[0:3]))
using and processing
code here.

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