Description: Thermal Physics Tutorials with Python Simulations by Minjoon Kouh, Taejoon Kouh Estimated delivery 3-12 business days Format Hardcover Condition Brand New 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. Publisher 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 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. Author Biography Taejoon Kouh is a Professor of Nano and Electronic Physics at Kookmin University, Republic of Korea.Minjoon Kouh is a Professor of Physics and Neuroscience at Drew University, USA. Details ISBN 1032257563 ISBN-13 9781032257563 Title Thermal Physics Tutorials with Python Simulations Author Minjoon Kouh, Taejoon Kouh Format Hardcover Year 2023 Pages 224 Publisher Taylor & Francis Ltd GE_Item_ID:140202020; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 118.99 USD
Location: Fairfield, Ohio
End Time: 2024-11-13T07:00:57.000Z
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ISBN-13: 9781032257563
Book Title: Thermal Physics Tutorials with Python Simulations
Number of Pages: 256 Pages
Publication Name: Thermal Physics Tutorials with Python Simulations
Language: English
Publisher: Taylor & Francis Group
Subject: Mechanics / Statics, Programming Languages / Python, Physics / General, Mechanics / Thermodynamics
Publication Year: 2023
Type: Textbook
Subject Area: Computers, Science
Author: Minjoon Kouh, Taejoon Kouh
Item Length: 9.2 in
Series: Series in Computational Physics Ser.
Item Width: 6.1 in
Format: Hardcover