Thermal Physics Tutorials with Python Simulations - Kouh, Minjoon; Kouh, Taejoon; - Prospero Internetes Könyváruház

Thermal Physics Tutorials with Python Simulations
 
A termék adatai:

ISBN13:9781032263434
ISBN10:1032263431
Kötéstípus:Puhakötés
Terjedelem:238 oldal
Méret:234x156 mm
Súly:453 g
Nyelv:angol
Illusztrációk: 70 Illustrations, black & white; 6 Halftones, black & white; 64 Line drawings, black & white
680
Témakör:

Thermal Physics Tutorials with Python Simulations

 
Kiadás sorszáma: 1
Kiadó: CRC Press
Megjelenés dátuma:
 
Normál ár:

Kiadói listaár:
GBP 45.99
Becsült forint ár:
24 144 Ft (22 995 Ft + 5% áfa)
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21 730 (20 696 Ft + 5% áfa )
Kedvezmény(ek): 10% (kb. 2 414 Ft)
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  példányt

 
Rövid leírás:

This book provides an accessible introduction to thermal physics with computational approaches that complement the traditional mathematical treatments of classical thermodynamics and statistical mechanics.

Hosszú leírás:

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.

Tartalomjegyzék:
Chapter 1. Calculating ?. Chapter 2. Kinetic Theory of Gas. Chapter 3. Velocity Distribution. Chapter 4. Thermal Processes. Chapter 5. Premise of Statistical Mechanics. Chapter 6. Revisiting Ideal Gas. Chapter 7. Revisiting Thermal Processes. Chapter 8. Entropy, Temperature, Energy, and Other Potentials. Chapter 9. Two-State System. Chapter 10. Specific Heat. Chapter 11. Random and Guided Walks. Appendix. Epilogue.