Merge branch 'master' of https://github.com/Theano/Theano into trunk

doc/faq.txt

@@ -5,6 +5,11 @@
 ==========================
 Frequently Asked Questions
 ==========================
+
+Does Theano support Python 3?
+------------------------------
+We support both Python 2 >= 2.6 and Python 3 >= 3.3.
+
 TypeError: object of type 'TensorVariable' has no len()
 -------------------------------------------------------
 

doc/install.txt

@@ -20,11 +20,11 @@ instructions below for detailed installation steps):
         We develop mainly on 64-bit Linux machines. other architectures are
         not well-tested.
 
-    Python_ >= 2.6
+    Python_ 2 >= 2.6 or Python_ 3 >= 3.3
         The development package (``python-dev`` or ``python-devel``
         on most Linux distributions) is recommended (see just below).
         Python 2.4 was supported up to and including the release 0.6.
-        Python 3 is supported via 2to3 only, starting from 3.3.
+        Python 3 is supported past the 3.3 release.
 
     ``g++``, ``python-dev``
         Not technically required but *highly* recommended, in order to compile
@@ -147,7 +147,13 @@ by typing
 
     pip install Theano
 
-You may need to add ``sudo``  before this command to install into your
+This should work under Python 2 or Python 3. To test, run
+
+.. code-block:: bash
+
+    nosetests theano
+
+You may need to add ``sudo``  before the ``pip`` command to install into your
 system's ``site-packages`` directory. If you do not have administrator access
 to your machine, you can install Theano locally (to ~/.local) using
 
@@ -255,11 +261,6 @@ From here, the easiest way to get started is (this requires setuptools_ or distr
     cd Theano
     python setup.py develop
 
-.. note::
-
-   "python setup.py develop ..." does not work on Python 3 as it does not call
-   the converter from Python 2 code to Python 3 code.
-
 This will install a ``.pth`` file in your ``site-packages`` directory that
 tells Python where to look for your Theano installation (i.e. in the
 directory your just checked out of Github). Using ``develop`` mode is

doc/introduction.txt

@@ -182,6 +182,7 @@ Here is the state of that vision as of December 3th, 2013 (after Theano release
   * Possible implementation note: allow Theano Variable in the fgraph to
     have more than 1 owner.
 
+* We support Python 2 and Python 3.
 * We have a CUDA backend for tensors of type `float32` only.
 * Efforts have begun towards a generic GPU ndarray (GPU tensor) (started in the
   `libgpuarray <https://github.com/Theano/libgpuarray>`_ project)