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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, Scipy, pandas, and SQLAlchemy to build and simulate complex computational models. Similar to Simula, *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*.

** 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

** Target audience: **computational scientists, Computational biologists, bioinformaticians, software engineers, programmers

** Difficulty level: **Advanced

** Licence: **MIT License

** Authors: **Jonathan Karr, Arthur Goldberg

DE-Sim examples, tutorials, and documentation
https://github.com/KarrLab/de_sim
https://tess.elixir-europe.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