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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)

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

Travis CI Azure Pipelines

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  • Download URL: numba-0.45.0-cp27-cp27m-macosx_10_9_x86_64.whl
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