numba 0.48.0-1build1 source package in Ubuntu

Changelog

numba (0.48.0-1build1) focal; urgency=medium

  * No-change rebuild to drop python3.7.

 -- Matthias Klose <email address hidden>  Tue, 18 Feb 2020 09:27:27 +0100

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Uploaded by:
Matthias Klose on 2020-02-18
Uploaded to:
Focal
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Focal release on 2020-02-19 universe misc

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File Size SHA-256 Checksum
numba_0.48.0.orig.tar.xz 1.7 MiB f2ff76d1e9eb3814c8340d7763229bfec2e942a0ef7686c92305d40fa3a918b5
numba_0.48.0-1build1.debian.tar.xz 7.5 KiB 641ffda834a2ed274f0195fdb3f84f8f974bbf5f13e0bf924e5cce9bfe5eaa39
numba_0.48.0-1build1.dsc 2.3 KiB 896fd62e053049775cda505f21be69adfc1c19cb981c67172864afc1ea00ca81

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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