scipy 1.13.1-2 source package in Ubuntu
Changelog
scipy (1.13.1-2) unstable; urgency=medium * hppa: skip another test_QRVS_shape_consistency test case (stats test_sampling.py) -- Drew Parsons <email address hidden> Wed, 31 Jul 2024 18:43:22 +0200
Upload details
- Uploaded by:
- Debian Python Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Python Team
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
scipy_1.13.1-2.dsc | 3.3 KiB | 117d3f518083712ac777b3759907b64964fddee65c59f98269a748971f2af652 |
scipy_1.13.1.orig-submodules.tar.gz | 31.4 MiB | 928dc595dacd462b14345a5d6dc29968e60058aa306939a4a69bb3425461cb5e |
scipy_1.13.1.orig.tar.gz | 24.1 MiB | c05838ab4ba02b1e8329efbe2d12124ed209c68aa9df42169bab0f17ebcfc215 |
scipy_1.13.1-2.debian.tar.xz | 100.0 KiB | 9a7b6a7940b284db78566f8cbddd1978c41d5c5893d58bf360f9e7abbbc08140 |
Available diffs
- diff from 1.12.0-2 to 1.13.1-2 (1011.4 KiB)
No changes file available.
Binary packages built by this source
- python-scipy-doc: scientific library for Python - documentation
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 contains documentation for the SciPy library.
- 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-dbgsym: debug symbols for python3-scipy