diff --git a/doc/install-on-macosx.md b/doc/install-on-macosx.md
index f21cb4f3daa9..89a86372400c 100644
--- a/doc/install-on-macosx.md
+++ b/doc/install-on-macosx.md
@@ -1,47 +1,42 @@
 # Installation on Mac OS X
 
-Ray must currently be built from source. We have tested Ray on OS X 10.11.
-
-## Clone the Ray repository
-
-```
-git clone https://github.com/ray-project/ray.git
-```
+Ray should work with Python 2 and Python 3. We have tested Ray on OS X 10.11.
 
 ## Dependencies
 
-First install the dependencies using brew. We currently do not support Python 3.
-If you have trouble installing the Python packages, you may find it easier to
-install [Anaconda](https://www.continuum.io/downloads).
+To install Ray, first install the following dependencies. We recommend using
+[Anaconda](https://www.continuum.io/downloads).
 
 ```
 brew update
-brew install git cmake automake autoconf libtool boost
-sudo easy_install pip
-sudo pip install numpy funcsigs colorama --ignore-installed six
-sudo pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4  # We use the latest version of cloudpickle because it can serialize named tuples.
+brew install cmake automake autoconf libtool boost
+sudo easy_install pip  # If you're using Anaconda, then this is unnecessary.
+
+pip install numpy funcsigs colorama psutil redis --ignore-installed six
+pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4  # We use the latest version of cloudpickle because it can serialize named tuples.
+pip install --upgrade --verbose git+git://github.com/ray-project/numbuf.git@d1974afbab9f0f1bcf8af15a8c476d868ad31aff
 ```
 
-## Build
+# Install Ray
 
-Then run the setup scripts.
+Ray can be installed with pip as follows.
 
 ```
-cd ray
-./setup.sh # Build all necessary third party libraries (e.g., gRPC and Apache Arrow). This may take about 10 minutes.
-./build.sh # Build Ray.
-source setup-env.sh # Add Ray to your Python path.
+pip install --upgrade --verbose "git+git://github.com/ray-project/ray.git#egg=ray&subdirectory=lib/python"
 ```
 
-For convenience, you may also want to add the line `source
-"$RAY_ROOT/setup-env.sh"` to the bottom of your `~/.bashrc` file manually, where
-`$RAY_ROOT` is the Ray directory (e.g., `/home/ubuntu/ray`).
+Alternatively, Ray can be built from the repository as follows.
 
-## Test if the installation succeeded
+```
+git clone https://github.com/ray-project/ray.git
+cd lib/python
+python setup.py install
+```
 
-To test if the installation was successful, try running some tests.
+## Test if the installation succeeded
+To test if the installation was successful, try running some tests. This assumes
+that you've cloned the git repository.
 
 ```
-python test/runtest.py # This tests basic functionality.
-python test/array_test.py # This tests some array libraries.
+python test/runtest.py
 ```
diff --git a/doc/install-on-ubuntu.md b/doc/install-on-ubuntu.md
index b9cfc3c2d29a..8c47a66e840b 100644
--- a/doc/install-on-ubuntu.md
+++ b/doc/install-on-ubuntu.md
@@ -1,44 +1,43 @@
 # Installation on Ubuntu
 
-Ray must currently be built from source. We have tested Ray on Ubuntu 14.04.
-
-## Clone the Ray repository
-
-```
-git clone https://github.com/ray-project/ray.git
-```
+Ray should work with Python 2 and Python 3. We have tested Ray on Ubuntu 14.04
+and Ubuntu 16.04
 
 ## Dependencies
 
-First install the dependencies. We currently do not support Python 3.
+To install Ray, first install the following dependencies. We recommend using
+[Anaconda](https://www.continuum.io/downloads).
 
 ```
 sudo apt-get update
-sudo apt-get install -y git cmake build-essential autoconf curl libtool python-dev python-numpy python-pip libboost-all-dev unzip
-sudo pip install funcsigs colorama
-sudo pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4  # We use the latest version of cloudpickle because it can serialize named tuples.
+sudo apt-get install -y cmake build-essential autoconf curl libtool python-dev python-pip libboost-all-dev unzip  # If you're using Anaconda, then python-dev and python-pip are unnecessary.
+
+pip install numpy funcsigs colorama psutil redis
+pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4  # We use the latest version of cloudpickle because it can serialize named tuples.
+pip install --upgrade --verbose git+git://github.com/ray-project/numbuf.git@d1974afbab9f0f1bcf8af15a8c476d868ad31aff
 ```
 
-## Build
+# Install Ray
 
-Then run the setup scripts.
+Ray can be installed with pip as follows.
 
 ```
-cd ray
-./setup.sh # Build all necessary third party libraries (e.g., gRPC and Apache Arrow). This may take about 10 minutes.
-./build.sh # Build Ray.
-source setup-env.sh # Add Ray to your Python path.
+pip install --upgrade --verbose "git+git://github.com/ray-project/ray.git#egg=ray&subdirectory=lib/python"
 ```
 
-For convenience, you may also want to add the line `source
-"$RAY_ROOT/setup-env.sh"` to the bottom of your `~/.bashrc` file manually, where
-`$RAY_ROOT` is the Ray directory (e.g., `/home/ubuntu/ray`).
+Alternatively, Ray can be built from the repository as follows.
+
+```
+git clone https://github.com/ray-project/ray.git
+cd lib/python
+python setup.py install
+```
 
 ## Test if the installation succeeded
 
-To test if the installation was successful, try running some tests.
+To test if the installation was successful, try running some tests. This assumes
+that you've cloned the git repository.
 
 ```
-python test/runtest.py # This tests basic functionality.
-python test/array_test.py # This tests some array libraries.
+python test/runtest.py
 ```
diff --git a/install-dependencies.sh b/install-dependencies.sh
index c3d4cd6c8855..109f2b8608de 100755
--- a/install-dependencies.sh
+++ b/install-dependencies.sh
@@ -15,7 +15,12 @@ else
   exit 1
 fi
 
-if [[ $platform == "macosx" ]]; then
+if [[ $platform == "linux" ]]; then
+  # These commands must be kept in sync with the installation instructions.
+  sudo apt-get update
+  sudo apt-get install -y cmake build-essential autoconf curl libtool python-dev python-numpy python-pip libboost-all-dev unzip
+  sudo pip install funcsigs colorama psutil redis
+elif [[ $platform == "macosx" ]]; then
   # check that brew is installed
   which -s brew
   if [[ $? != 0 ]]; then
@@ -25,20 +30,11 @@ if [[ $platform == "macosx" ]]; then
     echo "Updating brew."
     brew update
   fi
-fi
-
-if [[ $platform == "linux" ]]; then
-  # These commands must be kept in sync with the installation instructions.
-  sudo apt-get update
-  sudo apt-get install -y git cmake build-essential autoconf curl libtool python-dev python-numpy python-pip libboost-all-dev unzip
-  sudo pip install funcsigs colorama psutil redis
-  sudo pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4  # We use the latest version of cloudpickle because it can serialize named tuples.
-elif [[ $platform == "macosx" ]]; then
   # These commands must be kept in sync with the installation instructions.
-  brew install git cmake automake autoconf libtool boost
+  brew install cmake automake autoconf libtool boost
   sudo easy_install pip
   sudo pip install numpy funcsigs colorama psutil redis --ignore-installed six
-  sudo pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4  # We use the latest version of cloudpickle because it can serialize named tuples.
 fi
 
+sudo pip install --upgrade git+git://github.com/cloudpipe/cloudpickle.git@0d225a4695f1f65ae1cbb2e0bbc145e10167cce4  # We use the latest version of cloudpickle because it can serialize named tuples.
 sudo pip install --upgrade --verbose git+git://github.com/ray-project/numbuf.git@d1974afbab9f0f1bcf8af15a8c476d868ad31aff
diff --git a/lib/python/setup.py b/lib/python/setup.py
index 9cc416a3864a..e23a2a7d717f 100644
--- a/lib/python/setup.py
+++ b/lib/python/setup.py
@@ -1,3 +1,5 @@
+from __future__ import print_function
+
 import subprocess
 
 from setuptools import setup, find_packages
@@ -21,5 +23,13 @@ def run(self):
                     "photon": ["build/photon_scheduler",
                                "libphoton.so"]},
       cmdclass={"install": install},
+      install_requires=["numpy",
+                        "funcsigs",
+                        "colorama",
+                        "psutil",
+                        "redis",
+                        "cloudpickle",
+                        "numbuf==0.0.1"],
       include_package_data=True,
-      zip_safe=False)
+      zip_safe=False,
+      license="Apache 2.0")