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15.0 > Python > python3-numba (0.56.4)

  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


Source Downloads:
numba-0.56.4.tar.gz (cd918c55e5673c2ce63831d6bffd2c07)

Download SlackBuild:
python3-numba.tar.gz.asc (FAQ)

(the SlackBuild does not include the source)

Validated for Slackware 15.0

See our HOWTO for instructions on how to use the contents of this repository.

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ftp git cgit http rsync

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