Simlearn is a way how to teach/learn about simulations with a joy. PyStar is a main application of it.
Project description
The PyStar
PyStar is a user-friendly application for anyone who would like to learn simulations. It shows relevant quantities for each of modeling system. Explore and enjoy.
Requirements
This application uses ESPResSo package as a backend. Thus, it is essential to get compiled your package. The rest can be installed via
pip3 install -r requirements.txt
Introduction
PyStar is an application to learn about simulations. The application can provide you variety of use cases: starting from demonstration concents of model/methods to new students and ending by comprehensive university course about modeling.
The application is written in user-friendly way. You can pull slicers, toggle checkboxes drag and drop particles to tune your own simulation setup.
QuickStart
import espressomd
from simlearn import PyStar
PyStar.run()
Future Content of the Software
- Introduce new ensembles: NpT, RE
- Introduce new systems: chains, gels, combs..
- ...
The team
PyStar is currently maintained by Alexander D. Kazakov with contributions coming from talented individuals in various forms and means. A non-exhaustive but growing list needs to mention: Tabea G. Langen, Pascal Hebbeker, Peter Kosovan, Filip Uhlík, Lucie Nová.
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