How to Install and Uninstall python39-lancet-ioam Package on openSuSE Tumbleweed
Last updated: December 25,2024
1. Install "python39-lancet-ioam" package
Please follow the instructions below to install python39-lancet-ioam on openSuSE Tumbleweed
$
sudo zypper refresh
Copied
$
sudo zypper install
python39-lancet-ioam
Copied
2. Uninstall "python39-lancet-ioam" package
Learn how to uninstall python39-lancet-ioam on openSuSE Tumbleweed:
$
sudo zypper remove
python39-lancet-ioam
Copied
3. Information about the python39-lancet-ioam package on openSuSE Tumbleweed
Information for package python39-lancet-ioam:
---------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python39-lancet-ioam
Version : 0.9.0-2.32
Arch : noarch
Vendor : openSUSE
Installed Size : 283.4 KiB
Installed : No
Status : not installed
Source package : python-lancet-ioam-0.9.0-2.32.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 : openSUSE-Tumbleweed-Oss
Name : python39-lancet-ioam
Version : 0.9.0-2.32
Arch : noarch
Vendor : openSUSE
Installed Size : 283.4 KiB
Installed : No
Status : not installed
Source package : python-lancet-ioam-0.9.0-2.32.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.