How to Install and Uninstall python3-lancet-ioam Package on openSUSE Leap
Last updated: January 12,2025
1. Install "python3-lancet-ioam" package
Please follow the instructions below to install python3-lancet-ioam on openSUSE Leap
$
sudo zypper refresh
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$
sudo zypper install
python3-lancet-ioam
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2. Uninstall "python3-lancet-ioam" package
This guide covers the steps necessary to uninstall python3-lancet-ioam on openSUSE Leap:
$
sudo zypper remove
python3-lancet-ioam
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3. Information about the python3-lancet-ioam package on openSUSE Leap
Information for package python3-lancet-ioam:
--------------------------------------------
Repository : Main Repository
Name : python3-lancet-ioam
Version : 0.9.0-bp155.2.10
Arch : noarch
Vendor : openSUSE
Installed Size : 339.8 KiB
Installed : No
Status : not installed
Source package : python-lancet-ioam-0.9.0-bp155.2.10.src
Upstream URL : http://ioam.github.com/lancet/
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 : Main Repository
Name : python3-lancet-ioam
Version : 0.9.0-bp155.2.10
Arch : noarch
Vendor : openSUSE
Installed Size : 339.8 KiB
Installed : No
Status : not installed
Source package : python-lancet-ioam-0.9.0-bp155.2.10.src
Upstream URL : http://ioam.github.com/lancet/
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.