How to Install and Uninstall python310-spyder-kernels Package on openSuSE Tumbleweed
Last updated: November 05,2024
1. Install "python310-spyder-kernels" package
This guide covers the steps necessary to install python310-spyder-kernels on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python310-spyder-kernels
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2. Uninstall "python310-spyder-kernels" package
Please follow the steps below to uninstall python310-spyder-kernels on openSuSE Tumbleweed:
$
sudo zypper remove
python310-spyder-kernels
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3. Information about the python310-spyder-kernels package on openSuSE Tumbleweed
Information for package python310-spyder-kernels:
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Repository : openSUSE-Tumbleweed-Oss
Name : python310-spyder-kernels
Version : 2.5.1-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 504.0 KiB
Installed : No
Status : not installed
Source package : python-spyder-kernels-2.5.1-1.1.src
Upstream URL : https://github.com/spyder-ide/spyder-kernels
Summary : Jupyter kernels for Spyder's console
Description :
Spyder, the Scientific Python Development Environment, is an
IDE for researchers, engineers and data analysts.
This package provides Jupyter kernels for use with the consoles
of Spyder. These can launched either through Spyder itself or
in an independent Python session, and allow for interactive or
file-based execution of Python code in different environments,
all inside the IDE.
-------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python310-spyder-kernels
Version : 2.5.1-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 504.0 KiB
Installed : No
Status : not installed
Source package : python-spyder-kernels-2.5.1-1.1.src
Upstream URL : https://github.com/spyder-ide/spyder-kernels
Summary : Jupyter kernels for Spyder's console
Description :
Spyder, the Scientific Python Development Environment, is an
IDE for researchers, engineers and data analysts.
This package provides Jupyter kernels for use with the consoles
of Spyder. These can launched either through Spyder itself or
in an independent Python session, and allow for interactive or
file-based execution of Python code in different environments,
all inside the IDE.