Modeling and Simulation in Python
- The first part presents discrete models, including a bikeshare system and world population growth.
- The second part introduces first-order systems, including models of infectious disease, thermal systems, and pharmacokinetics.
- The third part is about second-order systems, including mechanical systems like projectiles, celestial mechanics, and rotating rigid bodies.
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 is an ideal programming language for this material. It is a good first language for people who have not programmed before, and it provides high-level data structures that are well-suited to express solutions to the problems we are interested in.
Table of contents
- Preface
- Chapter 1
- Chapter 2
- Chapter 3
- Chapter 4
- Chapter 5
- Chapter 6
- Chapter 7
- Chapter 8
- Chapter 9
- Chapter 10
- Chapter 11
- Chapter 12
- Chapter 13
- Chapter 14
- Chapter 15
- Chapter 16
- Chapter 17
- Chapter 18
- Chapter 19
- Chapter 20
- Chapter 21
- Chapter 22
- Chapter 23
- Chapter 24
- Chapter 25
- Chapter 26
- Index
| Pages : | 247 |
| Size : | 2.3 MB |
| File type : | |
| Downloads: | 193 |
| Created: | 2022-02-03 |
| License: | CC BY |
| Author(s): | Allen Downey |
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