How to Install and Uninstall python-freesasa-doc Package on Kali Linux
Last updated: December 24,2024
1. Install "python-freesasa-doc" package
Learn how to install python-freesasa-doc on Kali Linux
$
sudo apt update
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$
sudo apt install
python-freesasa-doc
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2. Uninstall "python-freesasa-doc" package
Learn how to uninstall python-freesasa-doc on Kali Linux:
$
sudo apt remove
python-freesasa-doc
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the python-freesasa-doc package on Kali Linux
Package: python-freesasa-doc
Source: python-freesasa
Version: 2.1.0-3
Installed-Size: 198
Maintainer: Debian Python Team
Architecture: all
Depends: libjs-sphinxdoc (>= 4.3), sphinx-rtd-theme-common (>= 1.1.1+dfsg)
Size: 26324
SHA256: 4ddadcab27cd5f2f31d3f7ad73ffede978a727f84a377e6df13e966ecbd25e57
SHA1: eb7183a77327efb338e94fcc8d3d77c545df6277
MD5sum: a5396ab3d3ddd20663bf89427c01cc38
Description: Python bindings for FreeSASA (common documentation)
The module provides Python bindings for the FreeSASA library. FreeSASA
calculates Solvent Accessible Surface Area (SASA) of biomolecules. By default,
Lee & Richards' algorithm is used, but Shrake & Rupley's is also available.
Both can be parameterized to arbitrary precision, and for high resolution
versions of the algorithms, the calculations give identical results.
.
This is the common documentation package.
Description-md5:
Homepage: https://freesasa.github.io/python/
Section: doc
Priority: optional
Filename: pool/main/p/python-freesasa/python-freesasa-doc_2.1.0-3_all.deb
Source: python-freesasa
Version: 2.1.0-3
Installed-Size: 198
Maintainer: Debian Python Team
Architecture: all
Depends: libjs-sphinxdoc (>= 4.3), sphinx-rtd-theme-common (>= 1.1.1+dfsg)
Size: 26324
SHA256: 4ddadcab27cd5f2f31d3f7ad73ffede978a727f84a377e6df13e966ecbd25e57
SHA1: eb7183a77327efb338e94fcc8d3d77c545df6277
MD5sum: a5396ab3d3ddd20663bf89427c01cc38
Description: Python bindings for FreeSASA (common documentation)
The module provides Python bindings for the FreeSASA library. FreeSASA
calculates Solvent Accessible Surface Area (SASA) of biomolecules. By default,
Lee & Richards' algorithm is used, but Shrake & Rupley's is also available.
Both can be parameterized to arbitrary precision, and for high resolution
versions of the algorithms, the calculations give identical results.
.
This is the common documentation package.
Description-md5:
Homepage: https://freesasa.github.io/python/
Section: doc
Priority: optional
Filename: pool/main/p/python-freesasa/python-freesasa-doc_2.1.0-3_all.deb