Modeling and simulation in python : an introduction for scientists and engineers / by Allen B. Downey

By:

Downey, Allen B [author]

Material type: Text

TextPublication details: San Francisco : No Starch Press, c2023Description: xxvi, 243 pages : illustrations ; 23 cmISBN:

9781718502161

Subject(s):

LOC classification:

QA 76.9 .DD69 2023

Contents:

Acknowledgements -- Introduction -- Part I: Discrete Systems --Chapter 1: Introduction to Modeling -- Chapter 2: Modeling a bike share system -- Chapter 3: Iterative Modeling -- Chapter 4: Parameters and Metrics -- Chapter 5: Building a Population Model -- Chapter 6: Iterating the population Model -- Chapter 7: Limits to Growth -- Chapter 8: Projecting into the Future -- Chapter 9: Analysis and Symbolic Computation -- Chapter 10 : Case Studies Part I -- Part II: Firs-order Systems -- Chapter 11: Epidemiology and SIR Models -- Chapter 12: Quantifying Interventions -- Chapter 13: Sweeping Parameters -- Chapter 14: Nondimensionalization -- Chapter 15: Thermal Systems -- Chapter 16: Solving the Coffee Problem -- Chapter 17: Modeling Blood Sugar -- Chapter 18: Implementing the Minimal Model -- Chapter 19: Case Studies Part II --PART III: SECOND-ORDER SYSTEMS -- Chapter 20: The Falling Penny Revisited -- Chapter 21; Drag -- Chapter 22: Two-Dimensional Motion -- Chapter 23: Optimization -- Chapter 24: Rotation -- Chapter 25: Torque -- Chapter 26: Case studies PART III -- Appendix: Under the Hood -- Index.

Summary: "Unlock the secrets of the universe and master the art of prediction with Modeling and Simulation in Python! From dropping a penny from the empire state building to temperature changes in a cup of coffee, you'll learn how to define models, write python programs to simulate them, and use those models to predict and explain the behavior systems, You'll work hands-on with models ranging from a bike share system to a population model,using methods like iterative modeling , analysis,symbolic,computation, and more. This peactical guide is ideal for students and professionals in a wide variety of fields who want to improve their understanding of models and simulations. No prior knowledge of programming, science, or engineering is required. With each chapter available as a downloadable Jupyter notebook, you can easily experiment with the code and apply what you've learned." -- Back cover

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Holdings
Item type	Current library	Collection	Call number	Materials specified	Status	Date due	Barcode
Books	NU Clark Circulation	Non-fiction	GC QA 76.9 .D69 2023 (Browse shelf(Opens below))		Available		NUCLA000005477

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Includes index.

"Unlock the secrets of the universe and master the art of prediction with Modeling and Simulation in Python! From dropping a penny from the empire state building to temperature changes in a cup of coffee, you'll learn how to define models, write python programs to simulate them, and use those models to predict and explain the behavior systems, You'll work hands-on with models ranging from a bike share system to a population model,using methods like iterative modeling , analysis,symbolic,computation, and more. This peactical guide is ideal for students and professionals in a wide variety of fields who want to improve their understanding of models and simulations. No prior knowledge of programming, science, or engineering is required. With each chapter available as a downloadable Jupyter notebook, you can easily experiment with the code and apply what you've learned." -- Back cover

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