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
- llvmlite (version 0.30.0 or higher)
- NumPy (version 1.9 or higher)
- funcsigs (for Python 2)
- 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
- llvmlite: >= 0.30.0
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
http://numba.pydata.org/numba-doc/latest/index.html
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/
