How to Install and Uninstall python312-nbclassic Package on openSuSE Tumbleweed
Last updated: November 26,2024
1. Install "python312-nbclassic" package
Please follow the instructions below to install python312-nbclassic on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python312-nbclassic
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2. Uninstall "python312-nbclassic" package
Here is a brief guide to show you how to uninstall python312-nbclassic on openSuSE Tumbleweed:
$
sudo zypper remove
python312-nbclassic
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3. Information about the python312-nbclassic package on openSuSE Tumbleweed
Information for package python312-nbclassic:
--------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python312-nbclassic
Version : 1.0.0-3.1
Arch : noarch
Vendor : openSUSE
Installed Size : 36.7 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 : python312-nbclassic
Version : 1.0.0-3.1
Arch : noarch
Vendor : openSUSE
Installed Size : 36.7 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.