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Allen B. Downey introduces computational modeling through practical simulations in Python. Examples begin with the falling-penny problem and a bicycle-sharing system, then develop into population models, cooling, glucose regulation, mechanical motion and other systems that change over time.
The chapters build models step by step, compare numerical simulations with analysis and ask how a model's assumptions influence its results. Exercises encourage readers to extend the examples and test alternative explanations. Programming, mathematics and scientific interpretation develop together, using Python and Jupyter notebooks as working tools.
This download preserves Green Tea Press's 2017 version 3.4.3, with its original diagrams, code and navigation. The catalog artwork is the author's authentic later cover for the same work; the downloaded edition remains the original 2017 PDF.