Thermal Physics Tutorials with Python Simulations

By: Minjoon Kouh, Taejoon Kouh

Write A Review

Hardcover | 14 March 2023 | Edition Number 1

At a Glance

Hardcover
238 Pages

Dimensions(cm)
23.39 x 15.6 x 1.42

Hardcover

$364.75

or 4 interest-free payments of $91.19 with

or

Ships in 10 to 15 business days

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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.