Numba translates Python functions to optimized machine code at
runtime using the industry-standard LLVM compiler library.
Numba-compiled numerical algorithms in Python can approach the
speeds of C or FORTRAN.
You don't need to replace the Python interpreter, run a separate
compilation step, or even have a C/C++ compiler installed. Just apply
one of the Numba decorators to your Python function, and Numba does
the rest.
This requires: python3-numpy
Maintained by: William PC
Keywords: high performance,parallel,just in time compiler
ChangeLog: python3-numba
Homepage:
https://numba.readthedocs.io/en/stable
Download SlackBuild:
python3-numba.tar.gz
python3-numba.tar.gz.asc (FAQ)
(the SlackBuild does not include the source)
Individual Files: |
README |
python3-numba.SlackBuild |
python3-numba.info |
slack-desc |
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