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compiling Python code using LLVM

Project description

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 llvmpy/llvmpy 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 https://github.com/llvmpy/llvmpy.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 numba-users@continuum.io
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

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