The following code reads a file from our Natural Earth dataset and prints its dictionary keys:

In:   import fiona
      c = fiona.open(r"C:\data\gdal\NE\
      110m_cultural\ne_110m_admin_1_states_provinces.shp")
      rec = next(iter(c))
      rec.keys()

Out:  dict_keys(['type', 'id', 'geometry', 'properties'])

Using the data pretty-print (pprint) library that is part of Python's standard library, we can print the corresponding values to the keys of the first feature from our dataset:

In:   import pprint
      pprint.pprint(rec['type'])
      pprint.pprint(rec['id'])
      pprint.pprint(rec['properties'])
      pprint.pprint(rec['geometry'])

Out:  'Feature'
      '0'
      OrderedDict([('adm1_code', 'USA-3514'),
                  ('diss_me', 3514),
                  ('iso_3166_2', 'US-MN'),
                  ('wikipedia',                                               
      'http://en.wikipedia.org/wiki/Minnesota'),
                  ('iso_a2', 'US'),
                  ('adm0_sr', 1),
                  ('name', 'Minnesota'), ….

Use the following methods on the data file object for printing the following information:

In:   print(len(c))        # prints total amount of features     
      print(c.driver)      # prints driver name
      print(c.crs)         # prints coordinate reference system of data                                                                                  file

Out:  51
      ESRI Shapefile
      {'init': 'epsg:4326'}