numba 0.50.1-2 source package in Ubuntu

Changelog

numba (0.50.1-2) unstable; urgency=medium

  * Team upload.
  * upload new upstream release to unstable

 -- Drew Parsons <email address hidden>  Sun, 28 Jun 2020 21:38:04 +0800

Upload details

Uploaded by:
Debian Science Team on 2020-06-28
Uploaded to:
Sid
Original maintainer:
Debian Science Team
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Hirsute release on 2020-10-23 universe misc
Groovy release on 2020-07-17 universe misc

Downloads

File Size SHA-256 Checksum
numba_0.50.1-2.dsc 2.3 KiB fb449e1774c5a8b5a45158f76e84941df41e82b92ad0327d7a58400495e560ad
numba_0.50.1.orig.tar.xz 1.5 MiB 0b5db590b1eec9ee6954ad95a75f70df7851103dd4f02bb4bcd38b4064338702
numba_0.50.1-2.debian.tar.xz 8.1 KiB 0f5c5b02195fb3f1c408dc123eba576e79805e31031a1d905c52001a681941a4

No changes file available.

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