compiling Python code using LLVM
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
- NumPy (version 1.9 or higher)
- funcsigs (for Python 2)
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
Join the Numba mailing list email@example.com: https://groups.google.com/a/continuum.io/d/forum/numba-users
Some old archives are at: http://librelist.com/browser/numba/
Release history Release notifications
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.