Metadata-Version: 2.0
Name: numba
Version: 0.40.1
Summary: compiling Python code using LLVM
Home-page: http://numba.github.com
Author: Anaconda, Inc.
Author-email: numba-users@continuum.io
License: BSD
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development :: Compilers
Requires-Dist: llvmlite (>=0.25.0dev0)
Requires-Dist: numpy

*****
Numba
*****

.. image:: https://badges.gitter.im/numba/numba.svg
   :target: https://gitter.im/numba/numba?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge
   :alt: Gitter

A Just-In-Time Compiler for Numerical Functions in Python
#########################################################

Numba is an open source, NumPy-aware optimizing compiler for Python sponsored
by Anaconda, Inc.  It uses the LLVM compiler project to generate machine code
from Python syntax.

Numba can compile a large subset of numerically-focused Python, including many
NumPy functions.  Additionally, Numba has support for automatic
parallelization of loops, generation of GPU-accelerated code, and creation of
ufuncs and C callbacks.

For more information about Numba, see the Numba homepage: 
http://numba.pydata.org

Dependencies
============

* llvmlite
* NumPy (version 1.9 or higher)
* funcsigs (for Python 2)


Installing
==========

The easiest way to install Numba and get updates is by using the Anaconda
Distribution: https://www.anaconda.com/download

::

   $ conda install numba

For more options, see the Installation Guide: http://numba.pydata.org/numba-doc/latest/user/installing.html

Documentation
=============

http://numba.pydata.org/numba-doc/latest/index.html


Mailing Lists
=============

Join the Numba mailing list 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/


Continuous Integration
======================

.. image:: https://travis-ci.org/numba/numba.svg?branch=master
    :target: https://travis-ci.org/numba/numba
    :alt: Travis CI

.. image:: https://ci.appveyor.com/api/projects/status/klm0dk21innm33mi?svg=true)
    :target: https://ci.appveyor.com/project/seibert/numba-j46mi
    :alt: AppVeyor


