Remove getting started example from documentation homepage

Avoids duplication with README. Documentation has other more
descriptive and complete tutorials.

Author: Andrew Fink

docs/index.rst

@@ -29,60 +29,6 @@ those who do not have the time and/or interest in learning a new language.
 By having the speed and scalability of Scala and the ease of Python,
 GeoPySpark is then the remedy to this predicament.
 
-A Quick Example
-----------------
-
-Here is a quick example of GeoPySpark. In the following code, we take NLCD data
-of the state of Pennsylvania from 2011, and do a masking operation on it with
-a Polygon that represents an area of interest. This masked layer is then saved.
-
-If you wish to follow along with this example, you will need to download the
-NLCD data and unzip it.. Running these two commands will complete these tasks
-for you:
-
-.. code:: console
-
-   curl -o /tmp/NLCD2011_LC_Pennsylvannia.zip https://s3-us-west-2.amazonaws.com/prd-tnm/StagedProducts/NLCD/2011/landcover/states/NLCD2011_LC_Pennsylvania.zip?ORIG=513_SBDDG
-   unzip -d /tmp /tmp/NLCD2011_LC_Pennsylvannia.zip
-
-.. code:: python
-
-  import geopyspark as gps
-
-  from pyspark import SparkContext
-  from shapely.geometry import box
-
-
-  # Create the SparkContext
-  conf = gps.geopyspark_conf(appName="geopyspark-example", master="local[*]")
-  sc = SparkContext(conf=conf)
-
-  # Read in the NLCD tif that has been saved locally.
-  # This tif represents the state of Pennsylvania.
-  raster_layer = gps.geotiff.get(layer_type=gps.LayerType.SPATIAL,
-                                 uri='/tmp/NLCD2011_LC_Pennsylvania.tif',
-                                 num_partitions=100)
-
-  # Tile the rasters within the layer and reproject them to Web Mercator.
-  tiled_layer = raster_layer.tile_to_layout(layout=gps.GlobalLayout(), target_crs=3857)
-
-  # Creates a Polygon that covers roughly the north-west section of Philadelphia.
-  # This is the region that will be masked.
-  area_of_interest = box(-75.229225, 40.003686, -75.107345, 40.084375)
-
-  # Mask the tiles within the layer with the area of interest
-  masked = tiled_layer.mask(geometries=area_of_interest)
-
-  # We will now pyramid the masked TiledRasterLayer so that we can use it in a TMS server later.
-  pyramided_mask = masked.pyramid()
-
-  # Save each layer of the pyramid locally so that it can be accessed at a later time.
-  for pyramid in pyramided_mask.levels.values():
-      gps.write(uri='file:///tmp/pa-nlcd-2011',
-                layer_name='north-west-philly',
-                tiled_raster_layer=pyramid)
-
-
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