text: import datetime
  import pandas as pd
  
  from learntools.core import *
  
  class LoadHomeData(EqualityCheckProblem):
      _var = 'home_data'
      _hint = "Use the `pd.read_csv` function"
      _solution = CS('home_data = pd.read_csv(iowa_file_path)')
  
      def check(self, df):
          assert isinstance(df, pd.DataFrame), ("`home_data` should be a DataFrame,"
                  " not `{}`").format(type(df),)
          expected_shape = (1460, 81)
          assert df.shape == expected_shape, ("Expected {} rows and {} columns, but"
                  " got shape {}").format(expected_shape[0], expected_shape[1], df.shape)
  
  
  class HomeDescription(EqualityCheckProblem):
      _vars = ['avg_lot_size', 'newest_home_age']
      max_year_built = 2010
      min_home_age = datetime.datetime.now().year - max_year_built
      _expected = [10517, min_home_age]
      _hint = 'Run the describe command. Lot size is in the column called LotArea. Also look at YearBuilt. Remember to round lot size '
      _solution = CS(
  """# using data read from home_data.describe()
  avg_lot_size = 10517
  newest_home_age = {}
  """.format(min_home_age))
  
  
  qvars = bind_exercises(globals(), [
      LoadHomeData,
      HomeDescription,
      ],
      var_format='step_{n}',
      )
  __all__ = list(qvars)
  