scipy 1.11.4-9 source package in Ubuntu
Changelog
scipy (1.11.4-9) unstable; urgency=medium * Team upload. * debian/tests: fix handling of verbose flag (used for riscv64) -- Drew Parsons <email address hidden> Wed, 15 May 2024 18:49:39 +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 |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| scipy_1.11.4-9.dsc | 3.1 KiB | dbbf0dc1bcf4e5d512a6802077fe6fe444d70f84c87c658c8255140ff92d44a9 |
| scipy_1.11.4.orig-submodules.tar.gz | 31.0 MiB | c11132198202f6f82515537fd4ab3cb061a991a7f74d08932dfb8a93c8e35ddf |
| scipy_1.11.4.orig.tar.gz | 23.7 MiB | 06c0338e76901aa1f996cc7f21eee622b1174d9e251b9bb540e6c172457851d3 |
| scipy_1.11.4-9.debian.tar.xz | 37.0 KiB | 6dbf53cf1afad278df469bd25ccff6a3c026e44744987f4f6b316759c9bdc4e8 |
Available diffs
- diff from 1.11.4-8 to 1.11.4-9 (512 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
