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
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
MATHEMATICS BOOT CAMP: Introduction to Complex Systems Tools
This repository contains didactic material used in an introductory course of mathematics at the Center for Complex Systems and Brain Sciences in Florida Atlantic University by Viktor K. Jirsa.
Scientific topics: Computational biology, Mathematics
Keywords: ComputationalBiology, Neuroscience, complex systems, Mathematics
Resource type: Notes, Scripts
MATHEMATICS BOOT CAMP: Introduction to Complex Systems Tools
https://github.com/vjirsa/bootcamp
https://tess.elixir-europe.org/materials/mathematics-boot-camp-introduction-to-complex-systems-tools
This repository contains didactic material used in an introductory course of mathematics at the Center for Complex Systems and Brain Sciences in Florida Atlantic University by Viktor K. Jirsa.
Viktor Jistra
Felix Almonte
Collins Assisi
Frederick Carver
Gautam Vallabha
Jaime Morris
Ajay Pillai
Armin Fuchs
Computational biology
Mathematics
ComputationalBiology, Neuroscience, complex systems, Mathematics
Undergraduate students