Good to see some of you at the Edu Summit.
me to join in the end.
enhanced, multi-lingual traceback explainer.
on Youtube -- still in under 5 minutes.
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