How to use Jupyter and Python to rapidly build interactive stories based on System Dynamics simulations
If you want to use the insights gained from simulation models to transform your enterprise, just having the model and the insights alone are often not enough – you need to develop a good story that persuades your stakeholders to make decisions and take action.
Our BPTK_PY library allows you to convert System Dynamics models into Python code and run them in the powerful Jupyter notebook environment, which is a wonderful place for writing interactive, data-driven papers and reports.
In our post Telling Stories with System Dynamics Models we introduced our approach to telling interactive stories based on simulation models built using System Dynamics.
Writing such interactive stories is quite challenging, even if your simulation model is already fairly complete, because you need to craft the storyline while testing different scenarios with the simulation model.
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