Mass-Spring-Damper simulation using a model based on Python, Boost or Cython. Coefficient estimation is performed using a number of techniques including linear regression, gradient-based optimisation and sampling.

Second post for 2015! Lmstat Usage Profile.

It's been a long time since the last post! Lately I've been playing around with mapping frameworks and services. Click through for a brief introduction on using Mapbox to create beatutiful layered maps.

Building on my simple wxPython multiprocessing example, I've extended the design to implement a distributed computing architecture, using Pyro.

Now that the multiprocessing library comes standard in Python 2.6, I thought I'd migrate some of my apps to take full advantage. However, there aren't many examples out there showing how to write a basic multiprocessing program with a graphical front-end. In order to prototype the program design, I wrote a simple wxPython script.

Just tidied up my VRMLtrace python program. This script converts any simulation/pose data (position+orientation) into a VRML model for visualisation. It uses a template file, a VRML model of the vehicle and a data file to generate the VRML.

This example demonstrates trimesh-trimesh collisions. Originally derived from the PyODE Tutorial 3. This example uses PyODE, and cgkit and was rendered with Pixie.

Finally got around to cleaning up my PyODE Example 3. Derived from the PyODE Tutorial 3. This example uses PyODE, and cgkit and was rendered with Pixie.