How to Install and Uninstall python311-nbclassic Package on openSuSE Tumbleweed
Last updated: December 26,2024
1. Install "python311-nbclassic" package
This tutorial shows how to install python311-nbclassic on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python311-nbclassic
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2. Uninstall "python311-nbclassic" package
This guide covers the steps necessary to uninstall python311-nbclassic on openSuSE Tumbleweed:
$
sudo zypper remove
python311-nbclassic
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3. Information about the python311-nbclassic package on openSuSE Tumbleweed
Information for package python311-nbclassic:
--------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-nbclassic
Version : 1.0.0-3.1
Arch : noarch
Vendor : openSUSE
Installed Size : 36.8 MiB
Installed : No
Status : not installed
Source package : python-nbclassic-1.0.0-3.1.src
Upstream URL : https://github.com/jupyterlab/nbclassic
Summary : Jupyter Notebook as a Jupyter Server Extension
Description :
NBClassic runs the Jupyter Notebook frontend on the Jupyter Server backend.
This project prepares for a future where JupyterLab and other frontends switch
to Jupyter Server for their Python Web application backend. Using this package,
users can launch Jupyter Notebook, JupyterLab and other frontends side-by-side
on top of the new Python server backend.
--------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python311-nbclassic
Version : 1.0.0-3.1
Arch : noarch
Vendor : openSUSE
Installed Size : 36.8 MiB
Installed : No
Status : not installed
Source package : python-nbclassic-1.0.0-3.1.src
Upstream URL : https://github.com/jupyterlab/nbclassic
Summary : Jupyter Notebook as a Jupyter Server Extension
Description :
NBClassic runs the Jupyter Notebook frontend on the Jupyter Server backend.
This project prepares for a future where JupyterLab and other frontends switch
to Jupyter Server for their Python Web application backend. Using this package,
users can launch Jupyter Notebook, JupyterLab and other frontends side-by-side
on top of the new Python server backend.