Greetings all. Good to see some of you at the Edu Summit. Many thank you to the organizers for allowing me to join in the end.
Andre gave a fabulous talk on friendly, the enhanced, multi-lingual traceback explainer. My lightning talk came at the end. For those who couldn't be there, I'm fleshing it out a bit more on Youtube -- still in under 5 minutes. https://youtu.be/B9CvWok7SgU Lightning Talk (in connection with Edu Summit, Pycon 2021) We talked a lot about data science, wherein data visualization is key. Everyone wants to learn pandas. My own curriculum development efforts, informed by real experience teaching at these grade levels, focuses on a different kind of "graph", namely the polyhedrons (edges, nodes...) and 3D graphics more generally. That's another kind of visualization, as distinct from data visualization, that computers are in principle good at. We can get there with Python, with Blender perhaps, so another ray tracer solution.[1] However we still integrate well with data science and such, as such tabular structures as provided by pandas & SQL provide a logical way to store our polyhedrons. Relationally. With edges and vertices stored separately from the summary rows i.e. the actual polys by name ("cube"), with V, F, E (8, 6, 12), maybe relative volumes [2], and tags, like Platonic, Archimedean, Johnson, Uniform, Space-Filler, Dual of [ ] etc. etc. Kirby [1] e.g. check out Adrian's anti-prism which I've compiled for a Raspberry Pi. Not written in Python, but does output in .pov format for rendering, which is what a lot of my scripts also do. A great way to learn XYZ coordinates and more, no? http://www.antiprism.com/ [2] https://nbviewer.jupyter.org/github/4dsolutions/Python5/blob/master/Polyvolumes.ipynb
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