code: def read(self, table_name, limit=None, decode_geom=False, shared_user=None, retry_times=3):
          
          # choose schema (default user - org or standalone - or shared)
          schema = 'public' if not self.is_org else (
              shared_user or self.creds.username())
  
          dataset = Dataset(self, table_name, schema)
          return dataset.download(limit, decode_geom, retry_times)
docs: Read a table from CARTO into a pandas DataFrames.
  
          Args:
              table_name (str): Name of table in user's CARTO account.
              limit (int, optional): Read only `limit` lines from
                  `table_name`. Defaults to ``None``, which reads the full table.
              decode_geom (bool, optional): Decodes CARTO's geometries into a
                `Shapely <https://github.com/Toblerity/Shapely>`__
                object that can be used, for example, in `GeoPandas
                <http://geopandas.org/>`__.
              shared_user (str, optional): If a table has been shared with you,
                specify the user name (schema) who shared it.
              retry_times (int, optional): If the read call is rate limited,
                number of retries to be made
  
          Returns:
              pandas.DataFrame: DataFrame representation of `table_name` from
              CARTO.
  
          Example:
              .. code:: python
  
                  import cartoframes
                  cc = cartoframes.CartoContext(BASEURL, APIKEY)
                  df = cc.read('acadia_biodiversity')