How to Install and Uninstall spyder Package on openSuSE Tumbleweed
Last updated: November 22,2024
1. Install "spyder" package
This guide let you learn how to install spyder on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
spyder
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2. Uninstall "spyder" package
Please follow the steps below to uninstall spyder on openSuSE Tumbleweed:
$
sudo zypper remove
spyder
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3. Information about the spyder package on openSuSE Tumbleweed
Information for package spyder:
-------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : spyder
Version : 5.5.1-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 40.8 MiB
Installed : No
Status : not installed
Source package : spyder-5.5.1-1.1.src
Upstream URL : https://www.spyder-ide.org/
Summary : The Scientific Python Development Environment
Description :
Spyder, the Scientific Python Development Environment, is an
IDE for researchers, engineers and data analysts.
It features a combination of the editing, analysis, debugging
and profiling functionality of a development tool with the
data exploration, interactive execution, deep inspection and
visualization capabilities of an analysis package. Additionally,
Spyder offers built-in integration with scientific
libraries, including NumPy, SciPy, Pandas, IPython, QtConsole,
Matplotlib, SymPy, and more, and can be extended further with
full plugin support.
-------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : spyder
Version : 5.5.1-1.1
Arch : noarch
Vendor : openSUSE
Installed Size : 40.8 MiB
Installed : No
Status : not installed
Source package : spyder-5.5.1-1.1.src
Upstream URL : https://www.spyder-ide.org/
Summary : The Scientific Python Development Environment
Description :
Spyder, the Scientific Python Development Environment, is an
IDE for researchers, engineers and data analysts.
It features a combination of the editing, analysis, debugging
and profiling functionality of a development tool with the
data exploration, interactive execution, deep inspection and
visualization capabilities of an analysis package. Additionally,
Spyder offers built-in integration with scientific
libraries, including NumPy, SciPy, Pandas, IPython, QtConsole,
Matplotlib, SymPy, and more, and can be extended further with
full plugin support.