Guide to Python for Physical Modeling

Kinder, Jesse M.; Nelson, Philip

ISBN 10: 0691180571 / ISBN 13: 9780691180571

Published by Princeton University Press, 2018

About this Item

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Bibliographic Details

• Title: Guide to Python for Physical Modeling
• Publisher: Princeton University Press
• Publication Date: 2018
• Language: English
• ISBN 10: 0691180571
• ISBN 13: 9780691180571
• Binding: Soft cover
• Condition: good

About this title

Synopsis

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.

About the Author

Jesse M. Kinder is assistant professor of physics at the Oregon Institute of Technology. Philip Nelson is professor of physics at the University of Pennsylvania. His books include From Photon to Neuron (Princeton) and Physical Models of Living Systems.