Python research engineering and stochastic simulation

pyRBM: A Framework for Rules-Based Modelling

A Python research-engineering case study building reusable infrastructure for stochastic, compartmental, spatial, and event-driven quantitative models.

Methods: quant developer, Python developer, stochastic modelling, Gillespie algorithm, simulation, NumPy, SymPy.

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