Coding interesting maths problems; reference for techniques

• Moving shapes constraints - simple bounds and constraints for moving 3D shapes with helpful behaviours

• Rotating shapes constraints - rotation extension to movement constraints

• graph_tool bipartite - using graph_tool & numpy to do bipartite projections from Python (fast and memory-intensive)
• numpig - specific example of a map reduce approach in numpy to process large matrices with limited memory

• Confusion Sankey - visualising classifier results or evaluation as Sankey diagrams, instead of typical confusion matrixes.
• Semantle Gradient Solver - basic gradient descent solver for semantle puzzle
• Semantle Simulator - simulator for semantle scores

• Square planet gravity - visualisations and numpy implementations for calculating gravitational fields around arbitraty planet shapes.
• Weird planet gravity - visualising gravity around and on the surface of weirdly shaped planets (at least arbitraty 2d cross sections)
• Lagrange gravity - visualising orbital zones around a rotating planet-moon system

• Odometer - Display a float as a mechanical odometer readout
• Map projection - Visualising map coordinate projections with squash-stretch quiver plot
• System dynamics models - Visualise system dynamics models as a graph with Python module