Getting up-to-date before pushing changes

docs/starting/install/osx.rst

@@ -3,7 +3,7 @@
 Installing Python on Mac OS X
 =============================
 
-The latest version of Mac OS X, Mountain Lion, **comes with Python 2.7 out of the box**.
+The latest version of Mac OS X, Mavericks, **comes with Python 2.7 out of the box**.
 
 You do not need to install or configure anything else to use Python. Having
 said that, I would strongly recommend that you install the tools and libraries
@@ -33,14 +33,14 @@ package.
 
 While Lion comes with a large number of UNIX utilities, those familiar with
 Linux systems will notice one key component missing: a decent package manager.
-`Homebrew <http://mxcl.github.com/homebrew/>`_ fills this void.
+`Homebrew <http://brew.sh>`_ fills this void.
 
-To `install Homebrew <https://github.com/mxcl/homebrew/wiki/installation>`_,
+To `install Homebrew <https://github.com/Homebrew/homebrew/wiki/installation>`_,
 simply run
 
 .. code-block:: console
 
-    $ ruby -e "$(curl -fsSL https://raw.github.com/mxcl/homebrew/go)"
+    $ ruby -e "$(curl -fsSL https://raw.github.com/Homebrew/homebrew/go/install)" 
 
 The script will explain what changes it will make and prompt you before the
 installation begins.
@@ -50,7 +50,7 @@ line at the bottom of your ``~/.bashrc`` file
 
 .. code-block:: console
 
-    export PATH=/usr/local/bin:$PATH
+    export PATH=/usr/local/bin:/usr/local/sbin:$PATH
 
 Now, we can install Python 2.7: ::
 
@@ -96,9 +96,9 @@ habit of using it to create completely clean Python environments for each
 project. This is particularly important for Web development, where each
 framework and application will have many dependencies.
 
-To set up a new Python environment, change the working directory to where ever
-you want to store the environment, and run the virtualenv utility in your
-project's directory
+To set up a new Python environment, move into the directory where you would 
+like to store the environment, and use the ``virtualenv`` utility to create 
+the new environment.
 
 .. code-block:: console
 

docs/starting/install/win.rst

@@ -3,7 +3,7 @@
 Installing Python on Windows
 ============================
 
-First, download the `latest version <http://python.org/ftp/python/2.7.4/python-2.7.4.msi>`_
+First, download the `latest version <http://python.org/ftp/python/2.7.6/python-2.7.6.msi>`_
 of Python 2.7 from the official Website. If you want to be sure you are installing a fully
 up-to-date version then use the "Windows Installer" link from the home page of the
 `Python.org web site <http://python.org>`_ .
@@ -80,7 +80,7 @@ project. This is particularly important for Web development, where each
 framework and application will have many dependencies.
 
 
-To set up a new Python environment, change the working directory to where ever
+To set up a new Python environment, change the working directory to wherever
 you want to store the environment, and run the virtualenv utility in your
 project's directory
 

docs/starting/which-python.rst

@@ -47,11 +47,11 @@ level of compatibility with Python packages and C extension modules.
 
 If you are writing open-source Python code and want to reach the widest possible
 audience, targeting CPython is your best bet. If you need to use any packages
-that rely on C extensions for their functionality (e.g. numpy) then CPython
+that rely on C extensions for their functionality (e.g., numpy) then CPython
 is your only choice.
 
 Being the reference implementation, all versions of the Python language are
-available as CPython. Python 3 is only available as a CPython implementation.
+available as CPython.
 
 PyPy
 ----
@@ -67,13 +67,14 @@ If you are looking to squeeze more performance out of your Python code, it's
 worth giving PyPy a try. On a suite of benchmarks, it's currently `over 5 times
 faster than CPython <http://speed.pypy.org/>`_.
 
-Currently PyPy supports Python 2.7. [#pypy_ver]_
+Currently PyPy supports Python 2.7. PyPy3 which targets Python 3 was recently
+available as a beta release. [#pypy_ver]_
 
 Jython
 ------
 
 `Jython <http://www.jython.org/>`_ is a Python implementation that compiles
-Python code to Java byte code that is then executed in a JVM. It has the additional
+Python code to Java bytecode that is then executed in a JVM. It has the additional
 advantage of being able to import and use any Java class like a Python
 module.