Highlight some of the things that the tutorial doesn't cover.

tutorial/around_the_world_roundup.ipynb

@@ -17,7 +17,19 @@
     "\n",
     "We found the ``GeoAxes``'s ``imshow()`` and ``add_geometries()`` methods are just two of the ways of handling raster and vector data respectively. \n",
     "\n",
-    "Finally, we looked at a number of approaches and tools that allowed us to interoperate between the two main classes of geospatial data. We used matplotlib, scikit-image, Iris and XArray to work with raster data, and Shapely and Fiona to work with vector data. Whilst most of these tools were never designed to handle Spherical data, cartopy gives us a means to work with it seamlessly."
+    "Finally, we looked at a number of approaches and tools that allowed us to interoperate between the two main classes of geospatial data. We used matplotlib, scikit-image, Iris and XArray to work with raster data, and Shapely and Fiona to work with vector data. Whilst most of these tools were never designed to handle Spherical data, cartopy gives us a means to work with it seamlessly.\n",
+    "\n",
+    "\n",
+    "We hope this tutorial has given you a solid understanding of what cartopy is, though there remains so much that we haven't covered. These include:\n",
+    "\n",
+    " * OGC web map (tile) service ingestion\n",
+    " * Cartopy's Shuttle Radar Topography Mission interface\n",
+    " * Web map tile creation\n",
+    " * A (prototype) bridge to MapProxy for creating a WMS service \n",
+    " * Vector field transforms (wind barbs, streamlines etc.)\n",
+    " * More gridline control\n",
+    " * Cartopy's SlippyImageArtist for drag-able on-the-fly re-rendering\n",
+    " "
    ]
   },
   {