scipy 1.10.1-5ubuntu1 source package in Ubuntu
Changelog
scipy (1.10.1-5ubuntu1) noble; urgency=medium * Allow building with Python 3.12 -- Graham Inggs <email address hidden> Fri, 03 Nov 2023 09:39:23 +0000
Upload details
- Uploaded by:
- Graham Inggs
- Uploaded to:
- Noble
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any all
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
---|
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_1.10.1-5ubuntu1.debian.tar.xz | 37.7 KiB | 510d78d26410e2d8643f2ac6f6cf48def9c5024121fdd74f1546965514437bec |
scipy_1.10.1-5ubuntu1.dsc | 3.2 KiB | 08cb9b3b010fa23db44d0f912071fe502020b2c80b5de8c3f00837ba117f2a2a |
Available diffs
- diff from 1.10.1-2 (in Debian) to 1.10.1-5ubuntu1 (2.2 KiB)
- diff from 1.10.1-5build1 to 1.10.1-5ubuntu1 (978 bytes)
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