A Student's Guide to Python for Physical Modelin Second Edition

Nelson, Philip/ Kinder, Jesse M.

ISBN 10: 0691223653 / ISBN 13: 9780691223650

Verlag: Princeton Univ Pr, 2021

2nd edition. 240 pages. 10.00x8.00x0.75 inches. In Stock. Bestandsnummer des Verkäufers 0691223653

Inhaltsangabe:

A fully updated tutorial on the basics of the Python programming language for science students

Python is a computer programming language that has gained popularity throughout the sciences. This fully updated second 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 guide introduces a wide range of useful tools, including:

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

Numerous code samples and exercises—with solutions—illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.

Über die Autorin bzw. den Autor: Jesse M. Kinder is associate 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), Physical Models of Living Systems, and Biological Physics.

Bibliografische Details

Titel: A Student's Guide to Python for Physical ...
Verlag: Princeton Univ Pr
Erscheinungsdatum: 2021
Einband: Paperback
Zustand: Brand New
Auflage: 2. Auflage