Modeling and Simulation in Python

ISBN-13: 9781718502161 / Angielski / Miękka / 2023 / 264 str.

Allen Downey

Recenzje

"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 Kitchen

Spis treści

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

O autorze

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.