WPyCX 0.31 -- a Python 3.3 port of PyCX -- is also available! (updated on 10/3/2013)
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.
Current Version: PyCX-0.31.zip (updated on 9/14/2013)
Codes are tested with Python 2.7.6, NumPy 1.8.0, SciPy 0.13.2, matplotlib 1.2.1 and NetworkX 1.8.1.
Note to Anaconda/Enthought Canopy users (as of 1/3/2014):
* PyCX's dynamic simulations may not work with Anaconda's or Enthought Canopy's GUI backend. Please run PyCX codes directly from plain Python with TkAgg. Special thanks to Alex Hill (https://github.com/CloudUK) for pointing this out!
What's new in version 0.31?
* The graphics backend has been changed from Tix to ttk so that Mac users can run it without installing Tix.
What's new in version 0.3?
* Przemyslaw Szufel & Bogumil Kaminski at the Warsaw School of Economics made a substantial improvement to the "pycxsimulator.py"
GUI module, implementing interactive control of model and visualization parameters.
* Several new sample simulation codes were added.
* PyCX is now distributed under the FreeBSD license (see LICENSE.txt).
For more details, read the "README.txt" (can be found at the bottom of this page)
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 2011-2014 by Hiroki Sayama <email@example.com>