Numba

Numba is an just-in-time specializing compiler which compiles annotated Python and NumPy code to LLVM (through decorators). Its goal is to seamlessly integrate with the Python scientific software stack and produce optimized native code, as well as integrate with native foreign languages.

Example

from numba import autojit

@autojit
def sum2d(arr):
    M, N = arr.shape
    result = 0.0
    for i in range(M):
        for j in range(N):
            result += arr[i,j]
    return result

More examples: examples.

Documentation

• http://numba.pydata.org/doc.html

Source and Downloads

• Github: https://github.com/numba/numba

$ git clone git://github.com/numba/numba.git

For tarballs see:

• Downloads

Installing

The easiest way to install numba and get updates is by using the Anaconda Distribution: http://continuum.io/downloads.html

If you have anaconda installed already:

$ conda install numba

or

$ conda update numba

For custom python environments see:

• Custom Python Environments

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/

Website

See if our sponsor can help you (which can help this project):

• http://www.continuum.io
• http://numba.pydata.org

Continuous Integration

• https://travis-ci.org/numba/numba