Geo without a database

geo_no_db.py

from django.contrib.gis.gdal import DataSource
from django.contrib.gis.gdal.geometries import Point

# Get the DC voting districts shape (from the Census Bureau)
ds = DataSource('/path/to/my/shapefiles/tl_2012_11_vtd10/tl_2012_11_vtd10.shp')
# Grab the layer that contains all of the shape data
layer = ds[0]

def get_shape_contains(layer, geometry):
    # Iterate over every shape
    for row in layer:
        # If positive match (geometry is in shape), return
        # NOTE: This logic returns on first match
        if row.geom.contains(geometry):
            return(row)
            
# GDAL geometries require a WKT
wapo_wkt = 'POINT (-77.0349768 38.9040006)'
# Create a GDAL point from the WKT string
wapo = Point(wapo_wkt)

# Get the shape
shape_that_wapo_is_in = get_shape_contains(layer, wapo)

#Print all of the fields
print({name: shape_that_wapo_is_in.get(name) for name in shape_that_wapo_is_in.fields})