Nagar | Introduction to Python for Engineers and Scientists | E-Book | sack.de
E-Book

E-Book, Englisch, 264 Seiten, eBook

Nagar Introduction to Python for Engineers and Scientists

Open Source Solutions for Numerical Computation
1. Auflage 2017
ISBN: 978-1-4842-3204-0
Verlag: APRESS
Format: PDF
Kopierschutz: 1 - PDF Watermark

Open Source Solutions for Numerical Computation

E-Book, Englisch, 264 Seiten, eBook

ISBN: 978-1-4842-3204-0
Verlag: APRESS
Format: PDF
Kopierschutz: 1 - PDF Watermark



Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts.  Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. What You'll LearnUnderstand the fundamentals of the Python programming languageApply Python to numerical computational programming projects in engineering and scienceDiscover the Pythonic way of lifeApplydata types, operators, and arrays Carry out plotting for visualizationWork with functions and loopsWho This Book Is ForEngineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.
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Zielgruppe


Professional/practitioner


Autoren/Hrsg.


Weitere Infos & Material


1. Philosophy of Python.- 2. Introduction to the Basics of Python.- 3. Ipython.- 4. Data Types.- 5. Operators.- 6. Arrays.- 7. Plotting.- 8. Functions and Loops.- 9. Object-Oriented Programming.- 10. Numerical Computing Formalism.


Sandeep Nagar, Ph.D. teaches and consults on the use of Python and other open source programming languages for for data science/analysis and numerical computing for engineering and science applications. In addition to teaching at universities, he frequently gives workshops covering open source software.  Sandeep has a Ph.D. in Material Science from KTH, Sweden in May 2012. Prior to that degree, he obtained a M.Sc. in Physics with specialization in Electronics and Radio Physics and a B.Sc.B.Ed degrees in India.



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