How to Install and Uninstall python3-steps-mpich.x86_64 Package on Fedora 36

Last updated: November 24,2024

1. Install "python3-steps-mpich.x86_64" package

Please follow the step by step instructions below to install python3-steps-mpich.x86_64 on Fedora 36

$ sudo dnf update $ sudo dnf install python3-steps-mpich.x86_64

2. Uninstall "python3-steps-mpich.x86_64" package

This guide covers the steps necessary to uninstall python3-steps-mpich.x86_64 on Fedora 36:

$ sudo dnf remove python3-steps-mpich.x86_64 $ sudo dnf autoremove

3. Information about the python3-steps-mpich.x86_64 package on Fedora 36

Last metadata expiration check: 1:33:37 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : python3-steps-mpich
Version : 3.6.0
Release : 8.fc36
Architecture : x86_64
Size : 1.7 M
Source : python-steps-3.6.0-8.fc36.src.rpm
Repository : updates
Summary : steps built with mpich
URL : http://steps.sourceforge.net/
License : GPLv2
Description :
: STEPS is a package for exact stochastic simulation of reaction-diffusion
: systems in arbitrarily complex 3D geometries. Our core simulation algorithm is
: an implementation of Gillespie's SSA, extended to deal with diffusion of
: molecules over the elements of a 3D tetrahedral mesh.
:
: While it was mainly developed for simulating detailed models of neuronal
: signaling pathways in dendrites and around synapses, it is a general tool and
: can be used for studying any biochemical pathway in which spatial gradients and
: morphology are thought to play a role.
:
: STEPS also supports accurate and efficient computational of local membrane
: potentials on tetrahedral meshes, with the addition of voltage-gated channels
: and currents. Tight integration between the reaction-diffusion calculations and
: the tetrahedral mesh potentials allows detailed coupling between molecular
: activity and local electrical excitability.
:
: We have implemented STEPS as a set of Python modules, which means STEPS users
: can use Python scripts to control all aspects of setting up the model,
: generating a mesh, controlling the simulation and generating and analyzing
: output. The core computational routines are still implemented as C/C++
: extension modules for maximal speed of execution.
:
: STEPS 3.0.0 and above provide early parallel solution for stochastic spatial
: reaction-diffusion and electric field simulation.
:
: Documentation can be found here:
: http://steps.sourceforge.net/manual/manual_index.html