How to Install and Uninstall python36-jellyfish Package on openSuSE Tumbleweed
Last updated: February 24,2025
Deprecated! Installation of this package may no longer be supported.
1. Install "python36-jellyfish" package
This guide let you learn how to install python36-jellyfish on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python36-jellyfish
Copied
2. Uninstall "python36-jellyfish" package
Please follow the step by step instructions below to uninstall python36-jellyfish on openSuSE Tumbleweed:
$
sudo zypper remove
python36-jellyfish
Copied
3. Information about the python36-jellyfish package on openSuSE Tumbleweed
Information for package python36-jellyfish:
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python36-jellyfish
Version : 0.8.2-1.8
Arch : x86_64
Vendor : openSUSE
Installed Size : 118,3 KiB
Installed : No
Status : not installed
Source package : python-jellyfish-0.8.2-1.8.src
Summary : A library for doing approximate and phonetic matching of strings
Description :
Jellyfish is a python library for doing approximate and phonetic
matching of strings.
Includes algorithms for string comparison: Levenshtein Distance,
Damerau-Levenshtein Distance, Jaro Distance, Jaro-Winkler Distance,
Match Rating Approach Comparison and Hamming Distance.
And algorithms for phonetic encoding: American Soundex, Metaphone,
NYSIIS (New York State Identification and Intelligence System) and
Match Rating Codex.
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python36-jellyfish
Version : 0.8.2-1.8
Arch : x86_64
Vendor : openSUSE
Installed Size : 118,3 KiB
Installed : No
Status : not installed
Source package : python-jellyfish-0.8.2-1.8.src
Summary : A library for doing approximate and phonetic matching of strings
Description :
Jellyfish is a python library for doing approximate and phonetic
matching of strings.
Includes algorithms for string comparison: Levenshtein Distance,
Damerau-Levenshtein Distance, Jaro Distance, Jaro-Winkler Distance,
Match Rating Approach Comparison and Hamming Distance.
And algorithms for phonetic encoding: American Soundex, Metaphone,
NYSIIS (New York State Identification and Intelligence System) and
Match Rating Codex.