How to Install and Uninstall python3-snowballstemmer.noarch Package on Fedora 35
Last updated: March 01,2025
1. Install "python3-snowballstemmer.noarch" package
Please follow the step by step instructions below to install python3-snowballstemmer.noarch on Fedora 35
$
sudo dnf update
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$
sudo dnf install
python3-snowballstemmer.noarch
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2. Uninstall "python3-snowballstemmer.noarch" package
This guide covers the steps necessary to uninstall python3-snowballstemmer.noarch on Fedora 35:
$
sudo dnf remove
python3-snowballstemmer.noarch
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$
sudo dnf autoremove
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3. Information about the python3-snowballstemmer.noarch package on Fedora 35
Last metadata expiration check: 5:51:41 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : python3-snowballstemmer
Version : 1.9.0
Release : 10.fc35
Architecture : noarch
Size : 152 k
Source : python-snowballstemmer-1.9.0-10.fc35.src.rpm
Repository : fedora
Summary : Provides 16 stemmer algorithms generated from Snowball algorithms
URL : https://pypi.python.org/pypi/snowballstemmer
License : BSD
Description : It includes following language algorithms:
:
: * Danish
: * Dutch
: * English (Standard, Porter)
: * Finnish
: * French
: * German
: * Hungarian
: * Italian
: * Norwegian
: * Portuguese
: * Romanian
: * Russian
: * Spanish
: * Swedish
: * Turkis
:
: This is a pure Python stemming library. If PyStemmer is available, this module
: uses it to accelerate.
Available Packages
Name : python3-snowballstemmer
Version : 1.9.0
Release : 10.fc35
Architecture : noarch
Size : 152 k
Source : python-snowballstemmer-1.9.0-10.fc35.src.rpm
Repository : fedora
Summary : Provides 16 stemmer algorithms generated from Snowball algorithms
URL : https://pypi.python.org/pypi/snowballstemmer
License : BSD
Description : It includes following language algorithms:
:
: * Danish
: * Dutch
: * English (Standard, Porter)
: * Finnish
: * French
: * German
: * Hungarian
: * Italian
: * Norwegian
: * Portuguese
: * Romanian
: * Russian
: * Spanish
: * Swedish
: * Turkis
:
: This is a pure Python stemming library. If PyStemmer is available, this module
: uses it to accelerate.