Introduction to Python for Engineers and Scientists

Open Source Solutions for Numerical Computation

Nonfiction, Computers, Programming, Programming Languages, General Computing
Cover of the book Introduction to Python for Engineers and Scientists by Sandeep Nagar, Apress
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Author: Sandeep Nagar ISBN: 9781484232040
Publisher: Apress Publication: December 6, 2017
Imprint: Apress Language: English
Author: Sandeep Nagar
ISBN: 9781484232040
Publisher: Apress
Publication: December 6, 2017
Imprint: Apress
Language: English

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

  • Understand the fundamentals of the Python programming language
  • Apply Python to numerical computational programming projects in engineering and science
  • Discover the Pythonic way of life
  • Apply data types, operators, and arrays
  • Carry out plotting for visualization
  • Work with functions and loops

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.  

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.  

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