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compiling Python code using LLVM

Project description

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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

Travis CI AppVeyor

Project details


Release history Release notifications | RSS feed

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Details for the file numba-0.41.0-cp27-cp27m-macosx_10_9_x86_64.whl.

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  • Download URL: numba-0.41.0-cp27-cp27m-macosx_10_9_x86_64.whl
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  • Size: 1.6 MB
  • Tags: CPython 2.7m, macOS 10.9+ x86-64
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  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.6.7

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