Scipy - Advanced data analysis using Python

An introduction to using python for scientific and other data intensive purposes. The examples are related to bench top laboratory data analysis. The speaker is Shane Neeley, a bioengineering masters student at Rice University and it was hosted by Brightwork CoResearch, an independent research and entrepreneurship facility in Houston, Texas. Best Suited for Mathematical Modelling, Computational Physics, data Analysis and Visualization

Parametric modeling - demo with PythonOCC

Parametric modeling can be considered as the modeling of objects that can be described using a finite number of parameters or dimensions.

Parametric modeling can also be called as dimension driven modelling.

Parametric modeling enhances the understandability and interchangeability of cad models (cad files) between different cad development platforms

pythonOCC comes with importers/exporters for the most commonly used standard data files format in engineering: STEP (AP203 and AP214), IGES, STL.