How to Install and Uninstall python3-espressomd Package on openSuSE Tumbleweed
Last updated: November 22,2024
1. Install "python3-espressomd" package
This guide let you learn how to install python3-espressomd on openSuSE Tumbleweed
$
sudo zypper refresh
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$
sudo zypper install
python3-espressomd
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2. Uninstall "python3-espressomd" package
Here is a brief guide to show you how to uninstall python3-espressomd on openSuSE Tumbleweed:
$
sudo zypper remove
python3-espressomd
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3. Information about the python3-espressomd package on openSuSE Tumbleweed
Information for package python3-espressomd:
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python3-espressomd
Version : 4.2.1-4.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 11.9 MiB
Installed : No
Status : not installed
Source package : python3-espressomd-4.2.1-4.1.src
Upstream URL : http://espressomd.org
Summary : Parallel simulation software for soft matter research
Description :
ESPResSo is a highly versatile software package for performing and analyzing
scientific Molecular Dynamics many-particle simulations of coarse-grained
atomistic or bead-spring models as they are used in soft-matter research in
physics, chemistry and molecular biology. It can be used to simulate systems
such as polymers, liquid crystals, colloids, ferrofluids and biological
systems, for example DNA and lipid membranes.
-------------------------------------------
Repository : openSUSE-Tumbleweed-Oss
Name : python3-espressomd
Version : 4.2.1-4.1
Arch : x86_64
Vendor : openSUSE
Installed Size : 11.9 MiB
Installed : No
Status : not installed
Source package : python3-espressomd-4.2.1-4.1.src
Upstream URL : http://espressomd.org
Summary : Parallel simulation software for soft matter research
Description :
ESPResSo is a highly versatile software package for performing and analyzing
scientific Molecular Dynamics many-particle simulations of coarse-grained
atomistic or bead-spring models as they are used in soft-matter research in
physics, chemistry and molecular biology. It can be used to simulate systems
such as polymers, liquid crystals, colloids, ferrofluids and biological
systems, for example DNA and lipid membranes.