scipy 1.10.1-7 source package in Ubuntu
Changelog
scipy (1.10.1-7) unstable; urgency=medium * Team upload * Build-Depends on cython3-legacy instead of cython3 (Closes: #1056888) * Drop dependencies on RC buggy python3-pythran -- Graham Inggs <email address hidden> Sat, 06 Jan 2024 14:54:22 +0000
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_1.10.1-7.dsc | 3.0 KiB | 9dbaccc74ac78099c1217a7c689f97eaaa5b584a82516745efbd961d8dd446c0 |
scipy_1.10.1.orig-submodules.tar.gz | 18.1 MiB | e8fa37c387daee743ccdfcec4e35ced286f87cfe37d6694c43cb8e027bac7bac |
scipy_1.10.1.orig.tar.gz | 23.5 MiB | 8f08e1742c9b09eb58640fa5a56031d6e1844806899e883fbe7447ca86fe8c55 |
scipy_1.10.1-7.debian.tar.xz | 37.7 KiB | 4230986ea83596dfe36f976c1acd935b5da3146253b0cca0ff93e5930562cbb1 |
Available diffs
- diff from 1.10.1-6 to 1.10.1-7 (684 bytes)
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