added alternative clang output for gcc c compiler setup instructions for MacOS

Author: tamblood

website/_containers/begin/2013-10-30-setup-your-machine.md

@@ -52,13 +52,18 @@ For Mac OS X 10.9 and higher (Mavericks and later): Within your terminal, run `x
 
 For Mac OS X 10.8 and lower (Mountain Lion and earlier), you will need to download the Command Line Tools from Apple [here](https://developer.apple.com/downloads/index.action#).  A (free) developer’s account is required.  Search for your OS version (which can be found by clicking on the Apple in the top left of your menu bar, and selecting “About this Mac”) and select “Command Line Tools for XCode”.
 
-This gives you the [GCC][7] or the GNU Compiler Collection. To test installation, within the Terminal application, type `gcc` and you should get the following:
+This gives you the [GCC][7] or the GNU Compiler Collection. To test installation, within the Terminal application, type `gcc` and you should get one of the following outputs (depending upon whether your machine defaults gcc to clang):
 
 ```bash
 $ gcc
 i686-apple-darwin11-llvm-gcc-4.2: no input files
 ```
 
+```bash
+$ gcc
+clang: error: no input files no input files
+```
+
 ### pip
 
 [pip][9], stands for “python install python”, is a tool for installing and managing Python packages. Within your Terminal application, use the following commands (ignore the leading `$` as that is your terminal prompt) for downloading & installing. It may prompt you for your computer login password.

website/_site/assets/pdfs/setup/mac-setup.md

@@ -60,7 +60,7 @@ $ sudo pip install --upgrade setuptools
 
 <h5 style="text-align:center"><span style="color:#8c8c8c">virtualenv & virtualenvwrapper</span></h5>
 
-virtualenv\[9] creates isolated environments for each of your Python projects. It helps to solve version & dependency problems with multiple Python installations and/or multiple versions of different Python packages.  We’ll use `pip` to install it:
+virtualenv\[9] creates isolated environments for each of your Python projects. It helps to solve version & dependency problems with multple Python installations and/or multiple versions of different Python packages.  We’ll use `pip` to install it:
 
 ```bash
 $ sudo pip install virtualenv