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Thermal Physics Tutorials with Python Simulations (Series in Computational Physics)

Unknown Author
4.9/5 (32254 ratings)
Description: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 featuresMajor 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Thermal Physics Tutorials with Python Simulations (Series in Computational Physics). To get started finding Thermal Physics Tutorials with Python Simulations (Series in Computational Physics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
1000848744

Thermal Physics Tutorials with Python Simulations (Series in Computational Physics)

Unknown Author
4.4/5 (1290744 ratings)
Description: 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 featuresMajor 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Thermal Physics Tutorials with Python Simulations (Series in Computational Physics). To get started finding Thermal Physics Tutorials with Python Simulations (Series in Computational Physics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
1000848744
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