A Student's Guide to Python for Physical Modeling
eBook - ePub

A Student's Guide to Python for Physical Modeling

Second Edition

  1. 240 pages
  2. English
  3. ePUB (mobile friendly)
  4. Only available on web
eBook - ePub

A Student's Guide to Python for Physical Modeling

Second Edition

Book details
Table of contents
Citations

About This Book

A fully updated tutorial on the basics of the Python programming language for science students Python is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed.This guide introduces a wide range of useful tools, including:

  • Basic Python programming and scripting
  • Numerical arrays
  • Two- and three-dimensional graphics
  • Animation
  • Monte Carlo simulations
  • Numerical methods, including solving ordinary differential equations
  • Image processing


Numerous code samples and exercises—with solutions—illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.

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Yes, you can access A Student's Guide to Python for Physical Modeling by Jesse M. Kinder,Philip Nelson in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Physics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Princeton University Press
Year
2024
ISBN
9780691270890
Edition
0
Topic
Physical Sciences
Subtopic
Physics
Index
Physics

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Let’s Go
  8. 1 Getting Started with Python
  9. 2 Organizing Data
  10. 3 Structure and Control
  11. 4 Data In, Results Out
  12. 5 First Computer Lab
  13. 6 Random Number Generation and Numerical Methods
  14. 7 Second Computer Lab
  15. 8 Images and Animation
  16. 9 Third Computer Lab
  17. 10 Advanced Techniques
  18. Get Going
  19. A Installing Python
  20. B Command Line Tools
  21. C Jupyter Notebooks
  22. D Errors and Error Messages
  23. E Python 2 versus Python 3
  24. F Under the Hood
  25. G Answers to “Your Turn” Questions
  26. Acknowledgments
  27. Recommended Reading
  28. Index