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Modeling and Simulation in Python

BuchKartoniert, Paperback
264 Seiten
Englisch
No Starch Presserschienen am30.05.2023
Modeling and Simulation in Python is a thorough but easy-to-follow introduction to physical modelling - that is, the art of describing and simulating real-world systems. Readers are guided through modelling things like world population growth, infectious disease, bungee jumping, baseball flight trajectories, celestial mechanics, and more while simultaneously developing a strong understanding of fundamental programming concepts like loops, vectors, and functions. Clear and concise, with a focus on learning by doing, the author spares the reader abstract, theoretical complexities and gets right to hands-on examples that show how to produce useful models and simulations.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR39,50
E-BookEPUB0 - No protectionE-Book
EUR33,99

Produkt

KlappentextModeling and Simulation in Python is a thorough but easy-to-follow introduction to physical modelling - that is, the art of describing and simulating real-world systems. Readers are guided through modelling things like world population growth, infectious disease, bungee jumping, baseball flight trajectories, celestial mechanics, and more while simultaneously developing a strong understanding of fundamental programming concepts like loops, vectors, and functions. Clear and concise, with a focus on learning by doing, the author spares the reader abstract, theoretical complexities and gets right to hands-on examples that show how to produce useful models and simulations.
Details
ISBN/GTIN978-1-7185-0216-1
ProduktartBuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2023
Erscheinungsdatum30.05.2023
Seiten264 Seiten
SpracheEnglisch
Gewicht530 g
Artikel-Nr.58398309

Inhalt/Kritik

Inhaltsverzeichnis
IntroductionPart I: Discrete SystemsChapter 1: ModelingChapter 2 Bike Share SystemChapter 3: IterationChapter 4: Sweeping ParametersChapter 5: World PopulationChapter 6: Proportional GrowthChapter 7: Limits to GrowthChapter 8: Projecting Population GrowthChapter 9: Analysis of Population GrowthChapter 10: Case Studies Part 1Part II: First Order SystemsChapter 11: EpidemiologyChapter 12: Modeling VaccinationChapter 13: Sweeping ParametersChapter 14: NondimensionalizationChapter 15: Cooling CoffeeChapter 16: Adding MilkChapter 17: PharmacokineticsChapter 18: Glucose and InsulinChapter 19: Case Studies Part 2Part III: Second Order SystemsChapter 20: PenniesChapter 21: DragChapter 22: BaseballChapter 23: OptimizationChapter 24: RotationChapter 25: TorqueChapter 26: Case Studies Part 3Appendix A Under the Hoodmehr
Kritik
"Modeling and Simulation in Python is an introduction to physical modeling using a computational approach . . . Taking a computational approach makes it possible to work with more realistic models than what you typically see in a first-year physics class, with the option to include features like friction and drag."
Python Kitchenmehr

Autor

Allen B. Downey is a Boston-area professor of Computer Science at Olin College and the author of a series of open-source textbooks related to software and data science, including Think Python, Think Bayes, and Think Complexity. His blog, Probably Overthinking It, features articles on Bayesian probability and statistics. Downey holds a Ph.D in computer science from U.C. Berkeley, and M.S. and B.S. degrees from MIT.