| ISBN13: | 9781032263434 |
| ISBN10: | 1032263431 |
| Binding: | Paperback |
| No. of pages: | 238 pages |
| Size: | 234x156 mm |
| Weight: | 453 g |
| Language: | English |
| Illustrations: | 70 Illustrations, black & white; 6 Halftones, black & white; 64 Line drawings, black & white |
| 700 |
Applied mathematics
Energy industry
High-level programming
Mechanics
Physics of liquids and solids
Thermodynamics and statistical physics
Applied mathematics (charity campaign)
Energy industry (charity campaign)
High-level programming (charity campaign)
Mechanics (charity campaign)
Physics of liquids and solids (charity campaign)
Thermodynamics and statistical physics (charity campaign)
Thermal Physics Tutorials with Python Simulations
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This book provides an accessible introduction to thermal physics with computational approaches that complement the traditional mathematical treatments of classical thermodynamics and statistical mechanics.
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.