diff --git a/README.rst b/README.rst
index f304c092e..4f437e47e 100644
--- a/README.rst
+++ b/README.rst
@@ -11,6 +11,7 @@ Ray
 
 Ray is a flexible, high-performance distributed execution framework.
 
+
 Installation
 ------------
 
@@ -21,15 +22,41 @@ Installation
 .. _`Mac`: http://ray.readthedocs.io/en/latest/install-on-macosx.html
 
 
+Example Program
+---------------
+
++------------------------------------------------+----------------------------------------------+
+| **Basic Python**                               | **Distributed with Ray**                     |
++------------------------------------------------+----------------------------------------------+
+|.. code:: python                                |.. code-block:: python                        |
+|                                                |                                              |
+|  import time                                   |  import time                                 |
+|                                                |  import ray                                  |
+|                                                |                                              |
+|                                                |  ray.init()                                  |
+|                                                |                                              |
+|                                                |  @ray.remote                                 |
+|  def f():                                      |  def f():                                    |
+|      time.sleep(1)                             |      time.sleep(1)                           |
+|      return 1                                  |      return 1                                |
+|                                                |                                              |
+|  # Execute f serially.                         |  # Execute f in parallel.                    |
+|  results = [f() for i in range(4)]             |  object_ids = [f.remote() for i in range(4)] |
+|                                                |  results = ray.get(object_ids)               |
++------------------------------------------------+----------------------------------------------+
+
+
 More Information
 ----------------
 
 - `Mailing List`_
 - `Documentation`_
+- `Tutorial`_
 - `Blog`_
-- `HotOS paper`_
+- `Ray HotOS paper`_
 
 .. _`Mailing List`: https://groups.google.com/forum/#!forum/ray-dev
 .. _`Documentation`: http://ray.readthedocs.io/en/latest/index.html
+.. _`Tutorial`: https://github.com/ray-project/tutorial
 .. _`Blog`: https://ray-project.github.io/
-.. _`HotOS paper`: https://arxiv.org/abs/1703.03924
+.. _`Ray HotOS paper`: https://arxiv.org/abs/1703.03924
diff --git a/doc/source/index.rst b/doc/source/index.rst
index 8635d308d..1110324a8 100644
--- a/doc/source/index.rst
+++ b/doc/source/index.rst
@@ -3,6 +3,28 @@ Ray
 
 *Ray is a flexible, high-performance distributed execution framework.*
 
+Example Program
+---------------
+
++------------------------------------------------+----------------------------------------------------+
+| **Basic Python**                               | **Distributed with Ray**                           |
++------------------------------------------------+----------------------------------------------------+
+|.. code:: python                                |.. code-block:: python                              |
+|                                                |                                                    |
+|  import time                                   |  import time                                       |
+|                                                |  import ray                                        |
+|                                                |                                                    |
+|                                                |  ray.init()                                        |
+|                                                |                                                    |
+|                                                |  @ray.remote                                       |
+|  def f():                                      |  def f():                                          |
+|      time.sleep(1)                             |      time.sleep(1)                                 |
+|      return 1                                  |      return 1                                      |
+|                                                |                                                    |
+|  # Execute f serially.                         |  # Execute f in parallel.                          |
+|  results = [f() for i in range(4)]             |  results = ray.get([f.remote() for i in range(4)]) |
++------------------------------------------------+----------------------------------------------------+
+
 .. toctree::
    :maxdepth: 1
    :caption: Installation