Loop like a pro, make parameter studies fun.
Software that simulates voting processes and compares electoral systems. A network of voters is generated by the Stochastic Block Model or a distance-based model. Opinion dynamics are run on the network with options for zealots and media bias. Different electoral systems are supported with high flexibility to accommodate real-world systems.”
A lightweight Python library for reproducible computational experiments with an ultra-simple, smart API. From idea to insight in under 5 minutes, with zero configuration.
A Python turtle simulation of planet movements to study Kepler's laws and how they emerge from Newton's law of gravity, for high school or lower level undergraduate students. Also, slides on astronomy and on methodology of science.
Preregistered computational experiments on maintenance-coupled evidence allocation, causal diagnosis, and replicated restoration.
Finite-level recovery and failure attribution for a fixed blind observer under Gaussian observation noise.
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