
A Student's Guide to Python for Physical Modeling
Updated Edition
Princeton University Press
Published on 30. January 2018
Book
Hardback
168 pages
978-0-691-18056-4 (ISBN)
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.
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.
Reviews / Votes
"Praise for the previous edition: "At a brief 160 pages, it is quite possible for a motivated student to complete it in just a few sittings. . . . [A] fine introduction."" * American Journal of Physics * "Praise for the previous edition: "The text serves as an excellent stepping stone into the world of using Python in computational science for undergraduate students with a strong background in mathematics.""---Kevin Thielen and Vivienne Tien, Computing in Science & EngineeringMore details
Edition
Updated Edition
Language
English
Place of publication
New Jersey
United States
Target group
College/higher education
Edition type
Revised edition
Product notice
Trade binding
Illustrations
5 color illus.
Dimensions
Height: 254 mm
Width: 203 mm
Weight
595 gr
ISBN-13
978-0-691-18056-4 (9780691180564)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.