Student's Guide to Python for Physical Modeling

Name: Student's Guide to Python for Physical Modeling
Brand: Princeton University Press
SKU: 9780691223650
Price: 853 CZK
Availability: InStock

Autor: Philip Nelson, Jesse M. Kinder

Jazyk:

Vazba: Brožovaná

Vydavatel: Princeton University Press

Dostupnost: Skladem u dodavatele

Odesíláme za 14-20 dnů

853 Kč

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

Informace o knize

Autor

Philip Nelson, Jesse M. Kinder

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2021

Stránek

240

EAN

9780691223650

ISBN

0691223653

Enbook ID

35402631

Vydavatel

Princeton University Press

Hmotnost

560

Rozměry

342 x 483 x 21

Kompletní popis

A fully updated tutorial on the basics of the Python programming language for science studentsPython 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 scriptingNumerical arraysTwo- and three-dimensional graphicsAnimationMonte Carlo simulationsNumerical methods, including solving ordinary differential equationsImage processingNumerous 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.

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