Metadata-Version: 1.1
Name: numba
Version: 0.45.1+0.ga9c107beb.dirty
Summary: compiling Python code using LLVM
Home-page: http://numba.github.com
Author: Anaconda, Inc.
Author-email: numba-users@continuum.io
License: BSD
Description: *****
        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)
        
        Supported Platforms
        ===================
        
        * Operating systems and CPU:
        
          - Linux: x86 (32-bit), x86_64, ppc64le (POWER8 and 9), ARMv7 (32-bit),
            ARMv8 (64-bit)
          - Windows: x86, x86_64
          - macOS: x86_64
          
        * Python versions: 2.7, 3.5-3.7
        * NumPy: >= 1.11
        * NVIDIA GPUs (Kepler architecture or later) via CUDA driver on Linux, Windows,
          macOS (< 10.14)
        * AMD GPUs via ROCm driver on Linux
        
        
        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://dev.azure.com/numba/numba/_apis/build/status/numba.numba?branchName=master
            :target: https://dev.azure.com/numba/numba/_build/latest?definitionId=1?branchName=master
            :alt: Azure Pipelines
        
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