Modeling and Simulation in Python



Download free course Modeling and Simulation in Python, pdf file on 247 pages by Allen Downey.
Modeling and Simulation in Python is an introduction to physical modeling using a computational approach. It is organized in three parts:
- 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 : PDF
Downloads: 183
Created: 2022-02-03
License: CC BY
Author(s): Allen Downey
Modeling and Simulation in Python

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