How to Install and Uninstall python3-sasmodels Package on Debian 12 (Bookworm)
Last updated: December 23,2024
Notice
You can also install and uninstall the python3-sasmodels on the following distributions in the same way, as they are all based on the Debian system
- MX Linux 23
- SparkyLinux
1. Install "python3-sasmodels" package
In this section, we are going to explain the necessary steps to install python3-sasmodels on Debian 12 (Bookworm)
$
sudo apt update
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$
sudo apt install
python3-sasmodels
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2. Uninstall "python3-sasmodels" package
This guide let you learn how to uninstall python3-sasmodels on Debian 12 (Bookworm):
$
sudo apt remove
python3-sasmodels
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python3-sasmodels package on Debian 12 (Bookworm)
Package: python3-sasmodels
Source: sasmodels
Version: 1.0.6-2
Installed-Size: 1564
Maintainer: Debian Science Maintainers
Architecture: all
Depends: gcc, libc6-dev | libc-dev, python3-numpy, python3-scipy, sasmodels-private-libs, python3:any
Recommends: python3-matplotlib, python3-pyopencl
Suggests: python-sasmodels-doc
Description: Theoretical models for small angle scattering (Python 3)
Description-md5: 4718a3b310b148814c1224a9215422ce
Homepage: https://www.sasview.org/
Section: python
Priority: optional
Filename: pool/main/s/sasmodels/python3-sasmodels_1.0.6-2_all.deb
Size: 319692
MD5sum: 46ce2f51c20328140821137bd63b9b31
SHA256: 911d8586b47e5c8c56ea9307dd7c4d00481af55bb8365b67ca5cb7ac9da4e1b2
Source: sasmodels
Version: 1.0.6-2
Installed-Size: 1564
Maintainer: Debian Science Maintainers
Architecture: all
Depends: gcc, libc6-dev | libc-dev, python3-numpy, python3-scipy, sasmodels-private-libs, python3:any
Recommends: python3-matplotlib, python3-pyopencl
Suggests: python-sasmodels-doc
Description: Theoretical models for small angle scattering (Python 3)
Description-md5: 4718a3b310b148814c1224a9215422ce
Homepage: https://www.sasview.org/
Section: python
Priority: optional
Filename: pool/main/s/sasmodels/python3-sasmodels_1.0.6-2_all.deb
Size: 319692
MD5sum: 46ce2f51c20328140821137bd63b9b31
SHA256: 911d8586b47e5c8c56ea9307dd7c4d00481af55bb8365b67ca5cb7ac9da4e1b2