Go back

A Student S Guide To Python For Physical Modeling(1st Edition)

Authors:

Jesse M. Kinder, Philip Nelson

Free a student s guide to python for physical modeling 1st edition jesse m. kinder, philip nelson 0691180571,
10 ratings
Cover Type:Hardcover
Condition:Used

In Stock

Include with your book

Free shipping: April 04, 2024
Access to 3 Million+ solutions Free
Ask 10 Questions from expert 200,000+ Expert answers
7 days-trial

Total Price:

$0

List Price: $2.00 Savings: $2(100%)

Book details

ISBN: 0691180571, 978-0691180571

Book publisher: Princeton University Press

Get your hands on the best-selling book A Student S Guide To Python For Physical Modeling 1st Edition for free. Feed your curiosity and let your imagination soar with the best stories coming out to you without hefty price tags. Browse SolutionInn to discover a treasure trove of fiction and non-fiction books where every page leads the reader to an undiscovered world. Start your literary adventure right away and also enjoy free shipping of these complimentary books to your door.

A Student S Guide To Python For Physical Modeling 1st Edition Summary: A fully updated tutorial on the basics of the Python programming language for science studentsPython 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 scriptingNumerical arraysTwo- and three-dimensional graphicsMonte Carlo simulationsNumerical methods, including solving ordinary differential equationsImage processingAnimationNumerous 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.