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numba package

numba 0.55.1-0ubuntu2 source package in Ubuntu

Changelog

numba (0.55.1-0ubuntu2) jammy; urgency=medium

  * No-change rebuild with Python 3.10 only

 -- Graham Inggs <email address hidden>  Wed, 16 Mar 2022 23:50:38 +0000

Upload details

Uploaded by:
Graham Inggs
Uploaded to:
Jammy
Original maintainer:
Ubuntu Developers
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Jammy release universe misc

Downloads

File Size SHA-256 Checksum
numba_0.55.1.orig.tar.gz 2.2 MiB a25005aed24de1ff801c307ab4482a0bb4a0564e362addd5913a874a3e97166b
numba_0.55.1-0ubuntu2.debian.tar.xz 14.2 KiB 79849a5710b26db50ed4766e9a292cfe949b7a6648b7613ee54998f2f78e1a66
numba_0.55.1-0ubuntu2.dsc 2.4 KiB f508f61173ba47fcfda074ec772dfabed2e892c5aae7054cb2607b2597ed8d8e

Available diffs

View changes file

Binary packages built by this source

numba-doc: native machine code compiler for Python (docs)

 Numba compiles native machine code instructions from Python programs at
 runtime using the LLVM compiler infrastructure. Just-in-time compilation with
 Numba could be easily employed by decorating individual computation intensive
 functions in the Python code.
 Numba could significantly speed up the performance of computations, and
 optionally supports compilation to run on GPU processors through Nvidia's
 CUDA platform.
 It integrates well with the Python scientific software stack, and
 especially recognizes Numpy arrays.
 .
 This package contains the documentation and examples.

python3-numba: native machine code compiler for Python 3

 Numba compiles native machine code instructions from Python programs at
 runtime using the LLVM compiler infrastructure. It could be easily employed
 by decorating individual computation intensive functions in the Python code.
 Numba could significantly speed up the performance of computations, and
 optionally supports compilation to run on GPU processors through Nvidia's
 CUDA platform.
 It integrates well with the Python scientific software stack, and
 especially recognizes Numpy arrays.
 .
 This package contains the modules for Python 3.

python3-numba-dbgsym: debug symbols for python3-numba