How to Install and Uninstall python38-spyder-kernels Package on openSuSE Tumbleweed
Last updated: June 18,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python38-spyder-kernels" package
Please follow the instructions below to install python38-spyder-kernels on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python38-spyder-kernels
Copied
2. Uninstall "python38-spyder-kernels" package
This guide covers the steps necessary to uninstall python38-spyder-kernels on openSuSE Tumbleweed:
$
sudo zypper remove
python38-spyder-kernels
Copied
3. Information about the python38-spyder-kernels package on openSuSE Tumbleweed
Information for package python38-spyder-kernels:
------------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-spyder-kernels
Version : 2.2.0-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 560,2 KiB
Installed : No
Status : not installed
Source package : python-spyder-kernels-2.2.0-1.1.src
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 : python38-spyder-kernels
Version : 2.2.0-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 560,2 KiB
Installed : No
Status : not installed
Source package : python-spyder-kernels-2.2.0-1.1.src
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.