scipy 1.10.1-10build1 source package in Ubuntu
Changelog
scipy (1.10.1-10build1) noble; urgency=medium * No-change rebuild for glibc 2.39. See LP 2052659. -- Matthias Klose <email address hidden> Wed, 07 Feb 2024 18:37:34 +0100
Upload details
- Uploaded by:
- Matthias Klose
- Uploaded to:
- Noble
- 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_1.10.1.orig-submodules.tar.gz | 18.1 MiB | e8fa37c387daee743ccdfcec4e35ced286f87cfe37d6694c43cb8e027bac7bac |
scipy_1.10.1.orig.tar.gz | 23.5 MiB | 8f08e1742c9b09eb58640fa5a56031d6e1844806899e883fbe7447ca86fe8c55 |
scipy_1.10.1-10build1.debian.tar.xz | 38.1 KiB | 4205d4a5efe373f1c39284015ba7b77a1d6ec13c4ddf972115c8024816338615 |
scipy_1.10.1-10build1.dsc | 3.1 KiB | 0ec7d8f0cbdff5f1e1c59b0d2861b1ed06d03c5c8acc425b6cfa01366c75138a |
Available diffs
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