Numba is an Open Source NumPy-aware optimizing compiler for Python 
sponsored by Continuum Analytics, Inc.  It uses the
remarkable LLVM compiler infrastructure to compile Python byte-code to
machine code especially for use in the NumPy run-time and SciPy
modules.

Dependencies:

  * LLVM 3.1
  * llvm-py (from numba/llvm-py fork)
  * numpy
  * Meta (from numba/Meta fork)

* Compile LLVM 3.1: 

wget http://llvm.org/releases/3.1/llvm-3.1.src.tar.gz 
tar zxvf llvm-3.1.src.tar.gz
./configure --enable-optimized
# Be sure your compiler architecture is same as version of Python you will use
#  e.g. -arch i386 or -arch x86_64.  It might be best to be explicit about this.
make install


* Clone LLVM-py from github
git clone git://github.com/ContinuumIO/llvm-py.git
python setup.py install

* Be sure to initialize the minivect submodule (in numba top-level dir)
git submodule init
git submodule update

* Build Numba
python setup.py install


* Follow Numba
Join the numba mailinglist [email protected]
https://groups.google.com/a/continuum.io/d/forum/numba-users

Some old archives are at http://librelist.com/browser/numba/

* See if our sponsor can help you (which can help this project) 
http://www.continuum.io