9780691180571-0691180571-A Student's Guide to Python for Physical Modeling: Updated Edition

A Student's Guide to Python for Physical Modeling: Updated Edition

ISBN-13: 9780691180571
ISBN-10: 0691180571
Edition: Revised
Author: Jesse M. Kinder, Philip Nelson
Publication date: 2018
Publisher: Princeton University Press
Format: Paperback 168 pages
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Book details

ISBN-13: 9780691180571
ISBN-10: 0691180571
Edition: Revised
Author: Jesse M. Kinder, Philip Nelson
Publication date: 2018
Publisher: Princeton University Press
Format: Paperback 168 pages

Summary

A Student's Guide to Python for Physical Modeling: Updated Edition (ISBN-13: 9780691180571 and ISBN-10: 0691180571), written by authors Jesse M. Kinder, Philip Nelson, was published by Princeton University Press in 2018. With an overall rating of 4.2 stars, it's a notable title among other Computer Science (Microsoft Programming, Programming, Physics) books. You can easily purchase or rent A Student's Guide to Python for Physical Modeling: Updated Edition (Paperback, Used) from BooksRun, along with many other new and used Computer Science books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.42.

Description

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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