The weblog of the Block Research Group
This post provides a list of Python functions that are very common in structural design calculations. They are not specifically optimised in any way. Therefore, you may end up using entirely different implementations in a real project. The list is a work in progress. I will try to add more examples soon…
Matplotlib is a great tool to visualise two-dimensional geometric data (and 3D data to some extent). You can also use it to dynamically visualise the convergence of an iterative solver.
Although NumPy and Scipy usually provide all the tools you need (and more) for scientific computing, sometimes you may want to use a bit of Matlab in the background. In my case, for example, to use rref. Conveniently, Matlab can be run as a Python subprocess, provided of course that Matlab is installed on your system.