diff --git a/doc/faq.rst b/doc/faq.rst
index 0afdddbc4..b3877cf7c 100644
--- a/doc/faq.rst
+++ b/doc/faq.rst
@@ -14,10 +14,10 @@ Does Altair work in more modern frontends such as JupyterLab or nteract
 -----------------------------------------------------------------------
 
 Yes! In fact, JupyterLab and nteract ship with builtin rendering for Vega
-and VegaLite. This functionality is still being finalized, but this version
-of Altair should work without any additional installations in these
-fronteds. However, you will need to call the ``enable_mime_rendering`` function
-to enable this support in Altair:
+and VegaLite. As of the release of Altair version 1.3, this functionality is
+still being finalized, but Altair should work without any additional
+installations in these fronteds. However, you will need to call the
+``enable_mime_rendering`` function to enable this support in Altair:
 
 .. code-block: Python
 
diff --git a/doc/index.rst b/doc/index.rst
index c931f032a..b21486705 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -33,8 +33,8 @@ Here is an example of using the Altair API to quickly visualize a dataset:
     # load built-in dataset as a pandas DataFrame
     cars = load_dataset('cars')
 
-    # Needed for rendering in JupyterLab, nteract, omit in the classic Jupyter Notebook
-    enable_mime_rendering()
+    # Uncomment for rendering in JupyterLab & nteract
+    # enable_mime_rendering()
 
     Chart(cars).mark_circle().encode(
         x='Horsepower',