Bookbot

A Student's Guide to Python for Physical Modeling

Boekbeoordeling

Meer over het boek

Python is a computer programming language that is rapidly gaining popularity throughout the sciences. 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.

Een boek kopen

A Student's Guide to Python for Physical Modeling, Jesse M Kinder

Taal
Jaar van publicatie
2015
product-detail.submit-box.info.binding
(Paperback)
Zodra we het ontdekt hebben, sturen we een e-mail.

Betaalmethoden

3,7
Zeer goed
6 Beoordelingen

We missen je recensie hier.

Taal
Engels
Jaar van publicatie
2015
Formaat
Paperback
Aantal pagina's
139
ISBN10
0691170509
ISBN13
9780691170503
Reeks
Beoordeling
3,65 van 5
Aantekening
Python is a computer programming language that is rapidly gaining popularity throughout the sciences. 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.