How to Install and Uninstall ferret-vis Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 18,2024

1. Install "ferret-vis" package

Please follow the instructions below to install ferret-vis on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install ferret-vis

2. Uninstall "ferret-vis" package

Learn how to uninstall ferret-vis on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove ferret-vis $ sudo apt autoclean && sudo apt autoremove

3. Information about the ferret-vis package on Ubuntu 20.10 (Groovy Gorilla)

Package: ferret-vis
Architecture: amd64
Version: 7.6.0~beta-2
Priority: extra
Section: universe/utils
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Alastair McKinstry
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 79132
Depends: libc6 (>= 2.29), libgfortran5 (>= 8), libnetcdf18 (>= 4.0.1), libnetcdff7 (>= 4.1.1), libreadline8 (>= 6.0), libx11-6, libxgks2, dh-elpa, tcsh | csh | c-shell
Recommends: ferret-datasets, python3-ferret
Filename: pool/universe/f/ferret-vis/ferret-vis_7.6.0~beta-2_amd64.deb
Size: 2522332
MD5sum: 21fffb9eec7ec4ffa779d0adbc5d6da6
SHA1: 58b0ba22ed3b9f088264d4a723950aeaf67ae496
SHA256: 0d1804dc1da5f657899ba9109dcd946d27051e127cc25284bf62bbb0aaa6197c
SHA512: 85fb5bd94738a670f10b44c823e76e94fe638a0163770b51cee0914ae0b95f77bd5b9a1bcd93168349725f6993a091f4e098089623bbd22dba79d122a6778a7f
Homepage: https://ferret.pmel.noaa.gov/Ferret/home
Description-en: Interactive data visualization and analysis environment
Ferret is an interactive computer visualization and analysis environment
designed to meet the needs of oceanographers and meteorologists analyzing
large and complex gridded data sets. It can transparently access extensive
remote Internet data bases using OPeNDAP (formerly known as DODS)
.
Ferret has a Mathematica-like flexibility, geophysical formatting,
"intelligent" connection to its data base, memory management for very large
calculations, and symmetrical processing in 4 dimensions. It can work on both
gridded and non-gridded datasets.
Description-md5: ae0fcb73ffb0fc487c5bff24cad474a9