README.md examples links

NVIDIA · Jun 14, 2024 · 9c4a8e3 · 9c4a8e3
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diff --git a/README.md b/README.md
@@ -76,7 +76,10 @@ print(lengths)
 
 ## Running Examples
 
-The `examples` directory contains a number of scripts that show how to implement different simulation methods using the Warp API. Most examples will generate USD files containing time-sampled animations (stored in the current working directory). Before running examples, users should ensure that the ``usd-core``, ``matplotlib``, and ``pyglet`` packages are installed using:
+The [warp/examples](./warp/examples/) directory contains a number of scripts categorized under different subdirectories
+that show how to implement different simulation methods using the Warp API.
+Most examples will generate USD files containing time-sampled animations (stored in the current working directory).
+Before running examples, users should ensure that the ``usd-core``, ``matplotlib``, and ``pyglet`` packages are installed using:
 
     pip install usd-core matplotlib pyglet
 

diff --git a/docs/index.rst b/docs/index.rst
@@ -60,14 +60,14 @@ An example first program that computes the lengths of random 3D vectors is given
 Additional Examples
 -------------------
 
-The `examples <https://github.com/NVIDIA/warp/tree/main/warp/examples>`_ directory in
-the Github repository contains a number of scripts that show how to
-implement different simulation methods using the Warp API. Most examples
+The `warp/examples <https://github.com/NVIDIA/warp/tree/main/warp/examples>`_ directory in
+the Github repository contains a number of scripts categorized under different subdirectories
+that show how to implement different simulation methods using the Warp API. Most examples
 will generate USD files containing time-sampled animations in the 
-same directory as the example. Before running examples users should
-ensure that the ``usd-core`` package is installed using::
+same directory as the example.
+Before running examples, users should ensure that the ``usd-core``, ``matplotlib``, and ``pyglet`` packages are installed using::
 
-    pip install usd-core
+    pip install usd-core matplotlib pyglet
 
 Examples can be run from the command-line as follows::