Ubuntu
python-scipy package

python-scipy 0.18.1-2ubuntu5 source package in Ubuntu

Changelog

python-scipy (0.18.1-2ubuntu5) artful; urgency=medium

  * Bump test_orthogonal.test_j_roots tolerance (LP: #1717767)

 -- Graham Inggs <email address hidden>  Sun, 17 Sep 2017 12:15:46 +0000

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

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File Size SHA-256 Checksum
python-scipy_0.18.1.orig.tar.gz 12.5 MiB 8ab6e9c808bf2fb3e8576cd8cf07226d9cdc18b012c06d9708429a821ac6634e
python-scipy_0.18.1-2ubuntu5.debian.tar.xz 17.6 KiB d79688eb2f0aabac142e03d1cfdd1f6651beb8187abb348d35ba46e1ddbdbe56
python-scipy_0.18.1-2ubuntu5.dsc 3.2 KiB 62166b1aa2ae9091d0cc164085037f4dff7e9b9e1289fbf9abbc4fabf5565011

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Binary packages built by this source

python-scipy: scientific tools for Python

 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.

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

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

python-scipy-doc: No summary available for python-scipy-doc in ubuntu artful.

No description available for python-scipy-doc in ubuntu artful.

python3-scipy: No summary available for python3-scipy in ubuntu artful.

No description available for python3-scipy in ubuntu artful.

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.