GitHub - teoliphant/numba: NumPy aware dynamic Python compiler using LLVM

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NumPy aware dynamic Python compiler using LLVM

BSD-2-Clause license

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Name		Name	Last commit message	Last commit date
Latest commit History 74 Commits
docs		docs
examples		examples
numba		numba
tests		tests
.gitmodules		.gitmodules
AUTHORS		AUTHORS
LICENSE		LICENSE
README		README
setup.py		setup.py

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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

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