Sample notebooks and tutorials for students of CAS 570 at Arizona State University.
Contributors: Enrico Borriello, Bryan Daniels, C. Michael Barton
- CoarseGraining-570.ipynb — A simple agent based model in python
- Systems of ODEs with SciPy.ipynb — How to simulate ordinary differential equations in python
- neural-decisions.ipynb — Example of stochastic differential equations used to model neural decisions in python
- Statistics-and-dimensionality-reduction-gene-expression-example-570.ipynb - Example of dimensionality reduction in gene expression data using PCA
- swidden_farming_v2.nlogo — Example agent based model for swidden farming in NetLogo
- swidden_farming_ODD.pdf — Standardized model description for the swidden farming example
The simplest way to access the code in this repository is to download a zip file containing all its files by clicking
the green "Code" button and then "Download ZIP" on the webpage for this repository: https://github.com/bcdaniels/CAS-570-Fundamentals-of-CAS .
Within the unzipped folder, you can open each notebook file using Jupyter. Note: Some notebook files depend on other code that is within the downloaded
folder, so you will need to leave the notebook files in the folder for them to work. You can move the entire CAS-570-Fundamentals-of-CAS-main
folder elsewhere on your computer, but moving files within or out of that folder will lead to problems.
A perhaps better way to access the code is to use git, a widely-used tool for version control. This is not required, but it is
something you will definitely want practice using if you are aiming for a career involving any kind of collaborative coding.
Running git clone https://github.com/bcdaniels/CAS-570-Fundamentals-of-CAS.git at a command line will create a subdirectory containing
a copy of the code as a full git repository, with all the version control powers that entails. There are plenty of places to get introduced
to the basics of git. A good start would be to review
the basic git commands
and the popular github workflow.