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Modeling And Simulation In Python

Modeling And Simulation In Python

Allen Downey

260 pages, parution le 29/05/2023

Résumé

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, celestial mechanics, and more while developing a strong understanding of fundamental programming concepts. 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. Introduction
Part I: Discrete Systems
Chapter 1:
Modeling
Chapter 2 Bike Share System
Chapter 3: Iteration
Chapter 4: Sweeping Parameters
Chapter 5: World Population
Chapter 6: Proportional Growth
Chapter 7: Limits to Growth
Chapter 8: Projecting Population Growth
Chapter 9: Analysis of Population Growth
Chapter 10: Case Studies Part 1
Part II: First Order Systems
Chapter 11:
Epidemiology
Chapter 12: Modeling Vaccination
Chapter 13: Sweeping Parameters
Chapter 14: Nondimensionalization
Chapter 15: Cooling Coffee
Chapter 16: Adding Milk
Chapter 17: Pharmacokinetics
Chapter 18: Glucose and Insulin
Chapter 19: Case Studies Part 2
Part III: Second Order Systems
Chapter 20:
Pennies
Chapter 21: Drag
Chapter 22: Baseball
Chapter 23: Optimization
Chapter 24: Rotation
Chapter 25: Torque
Chapter 26: Case Studies Part 3
Appendix A Under the Hood
Allen Downey is a Staff Scientist at DrivenData and Professor Emeritus at Olin College, where he taught Modeling and Simulation and other classes related to software and data science. He is the author of several textbooks, including Think Python , Think Bayes , and Elements of Data Science . Previously, he taught at Wellesley College and Colby College. He received his Ph.D. in computer science from the University of California, Berkeley in 1997. His undergraduate and master's degrees are from the Civil Engineering department at MIT. He is the author of Probably Overthinking It , a blog about data science and Bayesian statistics.

Caractéristiques techniques

  PAPIER
Éditeur(s) No Starch Press
Auteur(s) Allen Downey
Parution 29/05/2023
Nb. de pages 260
EAN13 9781718502161

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