scipy 1.11.4-2 source package in Ubuntu
Changelog
scipy (1.11.4-2) unstable; urgency=medium * Team upload. * skip test_gh12218 on armel -- Drew Parsons <email address hidden> Sat, 17 Feb 2024 09:49:20 +0100
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_1.11.4-2.dsc | 3.1 KiB | 244212a66af77f23c1c107c3b8265a7d4c65521cfdd4426dfe09df42fc9848ad |
scipy_1.11.4.orig-submodules.tar.gz | 31.0 MiB | c11132198202f6f82515537fd4ab3cb061a991a7f74d08932dfb8a93c8e35ddf |
scipy_1.11.4.orig.tar.gz | 23.7 MiB | 06c0338e76901aa1f996cc7f21eee622b1174d9e251b9bb540e6c172457851d3 |
scipy_1.11.4-2.debian.tar.xz | 36.4 KiB | d03586755089a58d9af93b92eb04a027c91d306d8d2f1a1b6dfcad001c8df9b8 |
Available diffs
- diff from 1.11.4-1 to 1.11.4-2 (635 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