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.

�ber 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.

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Great Jones Books, Inc.
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Purchase will be shipped upon receipt of payment including any additional shipping costs. NJ residents add appropriate sales tax. If you are dissatisfied (Incorrect Item/Not as Described/Damaged) or if the order has not arrived by the latest estimated delivery date, you maybe be eligible for a refund within 30 days of the estimated delivery date. Please contact us for any other return inquiries, and we will respond within 2 business days.

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