How to Install and Uninstall python36-html5lib Package on openSuSE Tumbleweed
Last updated: November 08,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python36-html5lib" package
Please follow the guidelines below to install python36-html5lib on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python36-html5lib
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2. Uninstall "python36-html5lib" package
This tutorial shows how to uninstall python36-html5lib on openSuSE Tumbleweed:
$
sudo zypper remove
python36-html5lib
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3. Information about the python36-html5lib package on openSuSE Tumbleweed
Information for package python36-html5lib:
------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python36-html5lib
Version : 1.1-1.8
Arch : noarch
Vendor : openSUSE
Installed Size : 1,2 MiB
Installed : No
Status : not installed
Source package : python-html5lib-1.1-1.8.src
Summary : HTML parser based on the WHAT-WG Web Applications 1
Description :
HTML parser designed to follow the HTML5
specification. The parser is designed to handle all flavours of HTML and
parses invalid documents using well-defined error handling rules compatible
with the behaviour of major desktop web browsers.
Output is to a tree structure; the current release supports output to
DOM, ElementTree, lxml and BeautifulSoup tree formats as well as a
simple custom format
------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python36-html5lib
Version : 1.1-1.8
Arch : noarch
Vendor : openSUSE
Installed Size : 1,2 MiB
Installed : No
Status : not installed
Source package : python-html5lib-1.1-1.8.src
Summary : HTML parser based on the WHAT-WG Web Applications 1
Description :
HTML parser designed to follow the HTML5
specification. The parser is designed to handle all flavours of HTML and
parses invalid documents using well-defined error handling rules compatible
with the behaviour of major desktop web browsers.
Output is to a tree structure; the current release supports output to
DOM, ElementTree, lxml and BeautifulSoup tree formats as well as a
simple custom format