new_contents: import argparse
  
  import pandas as pd
  
  if __name__ == "__main__":
  
      parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
      parser.add_argument('shortlists', help='Shortlists File as CSV', metavar='Shortlists.csv')
      parser.add_argument('gdslots', help='GD Slots and Panels as CSV', metavar='GDSlotsPanels.csv')
      parser.add_argument('-e', '--effective', help='Read effective shortlists', action='count', default=0)
      args = parser.parse_args()
  
      shortlistdf = pd.read_csv(args.shortlists, dtype=object)
      print(shortlistdf.info())
      if args.effective:
          shl = list(shortlistdf[['process', 'Company']].values)
          shortlistdf = pd.DataFrame({c: pd.Series([n for n, x in shl if x == c]) for y, c in shl})
  
      gdslots = pd.read_csv(args.gdslots)
      print(gdslots.info())
      companies = list(gdslots.columns.values)
      gdcomps = []
      slotspanels = []
      comps = []
      slotsrow = []
      slotsint = []
      defaultslots = 3
      for c in companies:
          comp = [c]
          comps.append(c)
          slotsrow.append(gdslots.get_value(1, c))
          slotsint.append(gdslots.get_value(2, c))
          for i in range(1, gdslots.get_value(0, c)):
              compval = c + str(i + 1)
              shortlistdf[compval] = shortlistdf[c]
              comp.append(compval)
              comps.append(compval)
              slotsrow.append(gdslots.get_value(1, c))
              slotsint.append(gdslots.get_value(2, c))
  
          gdcomps.append(comp)
      shortlistdf.sort_index(axis=1, inplace=True)
      shortlistdf.to_csv('RawShortlists.csv', index=False)
  
      gdcompdf = pd.DataFrame(gdcomps)
      gdcompdf.to_csv('GDPanels.csv', index=False, header=False)
  
      slotspanels.append(['Slots'] + comps)
      for i in range(35):
          val = "Slots_%02d" % i
          slotspanels.append([val] + slotsrow)
  
      slotsdf = pd.DataFrame(slotspanels)
      slotsdf.to_csv('SlotsPanels.csv', index=False, header=False)
  
      slotsint2 = [comps, slotsint]
      slotsintdf = pd.DataFrame(slotsint2)
      slotsintdf.to_csv('SlotsInterview.csv', index=False, header=False)
  
subject: Use ArgParse