How to Install and Uninstall python38-lancet-ioam Package on openSuSE Tumbleweed
Last updated: December 25,2024
Deprecated! Installation of this package may no longer be supported.
1. Install "python38-lancet-ioam" package
In this section, we are going to explain the necessary steps to install python38-lancet-ioam on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python38-lancet-ioam
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2. Uninstall "python38-lancet-ioam" package
This guide let you learn how to uninstall python38-lancet-ioam on openSuSE Tumbleweed:
$
sudo zypper remove
python38-lancet-ioam
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3. Information about the python38-lancet-ioam package on openSuSE Tumbleweed
Information for package python38-lancet-ioam:
---------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-lancet-ioam
Version : 0.9.0-2.16
Arch : noarch
Vendor : openSUSE
Installed Size : 339,7 KiB
Installed : No
Status : not installed
Source package : python-lancet-ioam-0.9.0-2.16.src
Summary : Launch jobs, organize the output, and dissect the results
Description :
Lancet is designed to help you organize the output of your research
tools, store it, and dissect the data you have collected. The output
of a single simulation or analysis rarely contains all the data you
need; Lancet helps you generate data from many runs and analyse it
using your own Python code.
Parameter spaces often need to be explored for the purpose of
plotting, tuning, or analysis. Lancet helps you extract the
information you care about from potentially enormous volumes of data
generated by such parameter exploration.
---------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python38-lancet-ioam
Version : 0.9.0-2.16
Arch : noarch
Vendor : openSUSE
Installed Size : 339,7 KiB
Installed : No
Status : not installed
Source package : python-lancet-ioam-0.9.0-2.16.src
Summary : Launch jobs, organize the output, and dissect the results
Description :
Lancet is designed to help you organize the output of your research
tools, store it, and dissect the data you have collected. The output
of a single simulation or analysis rarely contains all the data you
need; Lancet helps you generate data from many runs and analyse it
using your own Python code.
Parameter spaces often need to be explored for the purpose of
plotting, tuning, or analysis. Lancet helps you extract the
information you care about from potentially enormous volumes of data
generated by such parameter exploration.