Ubuntu
python-scipy package

python-scipy 1.2.2-4build1 source package in Ubuntu

Changelog

python-scipy (1.2.2-4build1) focal; urgency=medium

  * No-change rebuild to build with python3.8.

 -- Matthias Klose <email address hidden>  Fri, 18 Oct 2019 18:33:54 +0000

Upload details

Uploaded by:
Matthias Klose
Uploaded to:
Focal
Original maintainer:
Debian Python Modules Team
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
python-scipy_1.2.2.orig.tar.xz 15.7 MiB 8006216f7e99dbf639b9293c73c197f36c34389ea4a223547e31f1772d2626f7
python-scipy_1.2.2-4build1.debian.tar.xz 31.3 KiB 75e952ea43906da3efc697cecd42ba5bad005f822266702a7334d76a98af6961
python-scipy_1.2.2-4build1.dsc 3.2 KiB 2b4975957fbe0db782ce29df61a57398b5b4514e8493fc580995085541a58309

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Binary packages built by this source

python-scipy: No summary available for python-scipy in ubuntu focal.

No description available for python-scipy in ubuntu focal.

python-scipy-dbg: No summary available for python-scipy-dbg in ubuntu focal.

No description available for python-scipy-dbg in ubuntu focal.

python3-scipy: scientific tools for Python 3

 SciPy supplements the popular NumPy module (python-numpy package), gathering a
 variety of high level science and engineering modules together as a single
 package.
 .
 SciPy is a set of Open Source scientific and numeric tools for Python. It
 currently supports special functions, integration, ordinary differential
 equation (ODE) solvers, gradient optimization, genetic algorithms, parallel
 programming tools, an expression-to-C++ compiler for fast execution, and
 others.

python3-scipy-dbg: scientific tools for Python 3 - debugging symbols

 SciPy supplements the popular NumPy module (python-numpy package), gathering a
 variety of high level science and engineering modules together as a single
 package.
 .
 SciPy is a set of Open Source scientific and numeric tools for Python. It
 currently supports special functions, integration, ordinary differential
 equation (ODE) solvers, gradient optimization, genetic algorithms, parallel
 programming tools, an expression-to-C++ compiler for fast execution, and
 others.
 .
 This package provides debugging symbols for python3-scipy.