code: def get_leet_map():
      r
      df = get_longest_table(
          'https://sites.google.com/site/inhainternetlanguage/different-internet-languages/l33t/list-of-l33ts', header=None)
      df = df.drop(index=0).iloc[:, :2]
      df.columns = ['eng', 'l33t']
      df['l33t'] = df['l33t'].str.split(',')
      table = []
      for i, row in df.iterrows():
          for s in row['l33t']:
              table.append((row['eng'].strip(), s.strip()))
      table = pd.DataFrame(table, columns=df.columns)
      leet_path = os.path.join(DATA_PATH, 'l33t.csv')
      logger.info('Saving l33t dictionary (character mapping) to {}'.format(leet_path))
      table.to_csv(leet_path)
      return table
docs: r""" Retrieve mapping from English letters to l33t like E => 3 or A => /\ or /-\ or @