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

A Student's Guide to Python for Physical Modeling

Updated Edition

  1. 168 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

A Student's Guide to Python for Physical Modeling

Updated Edition

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 is rapidly gaining popularity throughout the sciences. This fully updated 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 tutorial focuses on fundamentals and introduces a wide range of useful techniques, including:

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

Numerous code samples and exercises--with solutions—illustrate new ideas as they are introduced. Web-based resources also accompany this guide and include code samples, data sets, and more. This current edition brings the discussion of the Python language, Spyder development environment, and Anaconda distribution up to date. In addition, a new appendix introduces Jupyter notebooks.

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

Table of contents

  1. Cover
  2. Let's Go
  3. 1 Getting Started with Python
  4. 2 Organizing Data
  5. 3 Structure and Control
  6. 4 Data In, Results Out
  7. 5 First Computer Lab
  8. 6 More Python Constructions
  9. 7 Second Computer Lab
  10. 8 Still More Techniques
  11. 9 Third Computer Lab
  12. Get Going
  13. A Installing Python
  14. B Jupyter Notebooks
  15. C Errors and Error Messages
  16. D Python 2 versus Python 3
  17. E Under the Hood
  18. F Answers to ``Your Turn'' Questions
  19. Acknowledgments
  20. References
  21. Index