DE-Sim examples, tutorials, and documentation
*DE-Sim* is an open-source, Python-based object-oriented discrete-event simulation (DES) tool that makes it easy to use large, heterogeneous datasets and high-level data science tools such as [NumPy](https://numpy.org/), [Scipy](https://scipy.org/scipylib/index.html),...
Scientific topics: Computational biology, Mathematics, Computer science, Simulation experiment
Operations: Visualisation, Modelling and simulation
Keywords: data-driven modeling, Computational modelling, discrete-event simulation, DES, object-oriented programming, Python, data visualization, Data Science
Resource type: examples, Tutorial, Jupyter notebook, API reference
DE-Sim examples, tutorials, and documentation
https://github.com/KarrLab/de_sim
http://tess.elixir-uk.org/materials/de-sim-examples-tutorials-and-documentation
*DE-Sim* is an open-source, Python-based object-oriented discrete-event simulation (DES) tool that makes it easy to use large, heterogeneous datasets and high-level data science tools such as [NumPy](https://numpy.org/), [Scipy](https://scipy.org/scipylib/index.html), [pandas](https://pandas.pydata.org/), and [SQLAlchemy](https://www.sqlalchemy.org/) to build and simulate complex computational models. Similar to [Simula](http://www.simula67.info/), *DE-Sim* models are implemented by defining logical process objects which read the values of a set of shared variables and schedule events to modify their values at discrete instants in time.
This website provides examples, tutorials, and documentation for *DE-Sim*.
Jonathan Karr
Arthur Goldberg
Computational biology
Mathematics
Computer science
Simulation experiment
data-driven modeling, Computational modelling, discrete-event simulation, DES, object-oriented programming, Python, data visualization, Data Science
computational scientists
Computational biologists
bioinformaticians
software engineers
programmers