# 2.41:  Build a dict from a CSV file with CSV header keys.  Use csv to open revenue.csv in a Python
# file and select out:  the header row and the first data row (hint:  use next() on the reader
# object to get one line at a time from the file).

# Now build a dict from the header row and first data row with keys that match the header line.
# 
# Tip:  use dict(zip(headers, data_row)) to build the dict:  zip() takes two lists and "zips" them
# together like a zipper to pair up the first items in each list, the second items in each list,
# etc.  zip(headers, data_row) will pair up the column heads with data from the row, and passing
# this to dict() will transform to a dictionary.

import csv

fh = open('../revenue.csv')
reader = csv.reader(fh)


