new_contents: import argparse
  import glob
  import os
  import datetime
  
  if __name__ == "__main__":
      parser = argparse.ArgumentParser()
      parser.add_argument("data_dir")
      args = parser.parse_args()
  
      filenames = glob.glob(os.path.join(args.data_dir,"*"))
  
      months = [datetime.datetime(2000,month,1).strftime("%b") for month in range(1,13)]
      data = []
      for filename in filenames[:10]:
          with open(filename,'r') as f:
              lines = f.readlines()
          if lines == []:
              continue
          station_name = lines[0].split(":")[-1].strip()
          station_id = lines[1].split(":")[-1].strip()
          latitude = lines[2].split(":")[-1].strip()
          longitude = lines[3].split(":")[-1].strip()
          elevation = lines[4].split(":")[-1].strip()
  
          next_heading = lines[6].strip()
          if next_heading == "Temperature-Related Normals":
              print "TRN"
              mly_tmax_normal = {month: datum for month,datum in zip(months,lines[10].strip().split()[1:])}
              print lines[11]
              mly_tmax_normal = {month: datum for month,datum in zip(months,lines[11].strip().split()[1:])}
              print mly_tmax_normal
          elif next_heading == "Temperature-Related Pseudonormals":
              print "TRPN"
          elif next_heading == "Precipitation-Related Normals":
              print "PRN"
          elif next_heading == "Precipitation-Related Pseudonormals":
              print "PRPN"
  
subject: add script for processing ncdc normals