ABSTRACT

This book provides an accessible introduction to thermal physics with computational approaches that complement the traditional mathematical treatments of classical thermodynamics and statistical mechanics. It guides readers through visualizations and simulations in the Python programming language, helping them to develop their own technical computing skills (including numerical and symbolic calculations, optimizations, recursive operations, and visualizations). Python is a highly readable and practical programming language, making this book appropriate for students without extensive programming experience.

This book may serve as a thermal physics textbook for a semester-long undergraduate thermal physics course or may be used as a tutorial on scientific computing with focused examples from thermal physics. This book will also appeal to engineering students studying intermediate-level thermodynamics as well as computer science students looking to understand how to apply their computer programming skills to science.

Key features

  • Major concepts in thermal physics are introduced cohesively through computational and mathematical treatments.
  • Computational examples in Python programming language guide students on how to simulate and visualize thermodynamic principles and processes for themselves.

chapter Chapter 1|10 pages

Calculating π

section I|60 pages

Classical Thermodynamics

chapter 12Chapter 2|16 pages

Kinetic Theory of Gas

chapter Chapter 3|28 pages

Velocity Distribution

chapter Chapter 4|14 pages

Thermal Processes

section II|76 pages

Statistical Mechanics

chapter 72Chapter 5|24 pages

Premise of Statistical Mechanics

chapter Chapter 6|16 pages

Revisiting Ideal Gas

chapter Chapter 7|10 pages

Revisiting Thermal Processes

chapter Chapter 8|24 pages

Entropy, Temperature, Energy, and Other Potentials

section III|58 pages

Examples

chapter 148Chapter 9|20 pages

Two-State System

chapter Chapter 10|14 pages

Specific Heat

chapter Chapter 11|22 pages

Random and Guided Walks