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 Learn
Who This Book Is For
Engineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
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.
You will:
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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Zustand: New. 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 . Artikel-Nr. 166761770
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Taschenbuch. Zustand: Neu. Introduction to Python for Engineers and Scientists | Open Source Solutions for Numerical Computation | Sandeep Nagar | Taschenbuch | xvii | Englisch | 2017 | Apress | EAN 9781484232033 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 110866601
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