How to Install and Uninstall stilts-doc Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: December 24,2024

1. Install "stilts-doc" package

Here is a brief guide to show you how to install stilts-doc on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install stilts-doc

2. Uninstall "stilts-doc" package

Please follow the step by step instructions below to uninstall stilts-doc on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove stilts-doc $ sudo apt autoclean && sudo apt autoremove

3. Information about the stilts-doc package on Ubuntu 20.10 (Groovy Gorilla)

Package: stilts-doc
Architecture: all
Version: 3.2.1-1
Priority: optional
Section: universe/doc
Source: starjava-ttools
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Astro Team
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 8292
Filename: pool/universe/s/starjava-ttools/stilts-doc_3.2.1-1_all.deb
Size: 1481856
MD5sum: 9371cfa0e476f2bfe733f6f17d3f1a4b
SHA1: 4abd6b487e2355a7deff0e7c51ddc4bca393faeb
SHA256: 1de4cf2f918c7cd3976021037b287e0e68ead0bec66c43f422d47b545b59e6d8
SHA512: 9feb73c2c4a7907b6c981ae001d21b3c85c6f314875ddf6131a2bea77c565d97a6fb8f31925f91c576a90140907740ab40c8743b094987fe6fd95a882c3da82c
Homepage: http://www.starlink.ac.uk/stilts/
Description-en: Starlink Tables Infrastructure Library Tool Set (documentation)
The STIL Tool Set is a set of command-line tools based on STIL, the
Starlink Tables Infrastructure Library. It deals with the processing
of tabular data; the package has been designed for, but is not
restricted to, astronomical tables such as object catalogues. Some of
the tools are generic and can work with multiple formats (including
FITS, VOTable, CDF, CSV, SQL and ASCII), and others are
specific to the VOTable format. In some ways, STILTS forms the
command-line counterpart of the GUI table analysis tool TOPCAT. The
package is robust, fully documented, and designed for efficiency,
especially with very large datasets.
.
This package contains the documentation.
Description-md5: fb5ec7d84d425889df08dc1780e149f5