#trimesh can be a bit weird, even installing pip install trimesh[all] I still got issues because I was missing #networkx (which I usually install for other reasons!)
After weeks of making #maps for the 30DayMapChallenge, it's time for some #dataviz again.
Looked at what words C-3PO uses most often together (bigram analysis) and visualised them in a network graph (thicker line=more co-occurences). "Oh dear" 😃
For the ones using the incredible NetworkX library there is a new backend with support for GPU-accelerated capabilities. nx-cugraph seems to support out of the box a majority of the functions.
Got to wrap my head around graph theory as implemented in #NetworkX (a #Python package).
Obviously official docs are my starting point but if anyone can recommend good articles (including academic ones) that explain graph theory to beginners links would be very much appreciated.