How to Install and Uninstall jupyter-jupyter-client Package on openSUSE Leap
Last updated: December 25,2024
1. Install "jupyter-jupyter-client" package
Please follow the step by step instructions below to install jupyter-jupyter-client on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
jupyter-jupyter-client
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2. Uninstall "jupyter-jupyter-client" package
This guide let you learn how to uninstall jupyter-jupyter-client on openSUSE Leap:
$
sudo zypper remove
jupyter-jupyter-client
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3. Information about the jupyter-jupyter-client package on openSUSE Leap
Information for package jupyter-jupyter-client:
-----------------------------------------------
Repository : Main Repository
Name : jupyter-jupyter-client
Version : 5.3.4-bp155.2.15
Arch : noarch
Vendor : openSUSE
Installed Size : 6.4 KiB
Installed : No
Status : not installed
Source package : python-jupyter-client-5.3.4-bp155.2.15.src
Upstream URL : https://github.com/jupyter/jupyter_client
Summary : Jupyter protocol implementation and client libraries
Description :
This package contains the reference implementation of the Jupyter protocol.
It also provides client and kernel management APIs for working with kernels.
It also provides the jupyter kernelspec entrypoint for installing kernelspecs
for use with Jupyter frontends.
This package provides the jupyter components.
-----------------------------------------------
Repository : Main Repository
Name : jupyter-jupyter-client
Version : 5.3.4-bp155.2.15
Arch : noarch
Vendor : openSUSE
Installed Size : 6.4 KiB
Installed : No
Status : not installed
Source package : python-jupyter-client-5.3.4-bp155.2.15.src
Upstream URL : https://github.com/jupyter/jupyter_client
Summary : Jupyter protocol implementation and client libraries
Description :
This package contains the reference implementation of the Jupyter protocol.
It also provides client and kernel management APIs for working with kernels.
It also provides the jupyter kernelspec entrypoint for installing kernelspecs
for use with Jupyter frontends.
This package provides the jupyter components.