News: PyCX Tutorial at ECAL 2013!
Paper on PyCX published in Complex Adaptive Systems Modeling (open access)
The PyCX Project aims to develop an online repository of simple, crude, yet easy-to-understand Python sample codes for dynamic complex systems simulations, including iterative maps, cellular automata, dynamical networks and agent-based models.
Download PyCX files
Project Summary on SourceForge.net
Current Version: PyCX-0.2.zip (updated on 6/2/2012)
What's new in version 0.2?
* A new "pycxsimulator.py" was developed (thanks to Chun Wong) for real-time dynamic simulation.
* Several new sample simulation codes were added.
* All the codes were thoroughly reviewed and revised to improve their readability and generalizability.
For more details, read the "README.txt" (can be found at the bottom of this page)
Codes are tested with Python 2.7.2, NumPy 1.6.1, SciPy 0.10.0, matplotlib 1.1.0 and NetworkX 1.6.
What You Should Do
1. Install Python 2.7, NumPy, SciPy, matplotlib and NetworkX.
2. Download a PyCX sample code of your interest from here.
3. Run it.
4. Read it.
5. Change it as you like.
Copyright 2011-2013 by Hiroki Sayama <sayama@binghamton.edu>