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Introduction to Python for Engineers and Scientists

Open Source Solutions for Numerical Computation

  • Book
  • © 2018

Overview

Authors:
  1. Sandeep Nagar

    1. New York, USA

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  • A quick, practical compact primer for learning and applying the Python programming language
  • Includes sample code with applications for engineers and scientists
  • Python is one of today's most popular, if not the most popular, programming languages with its flexibility and many applications

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Philosophy of Python

    • Sandeep Nagar
    Pages 1-12

  3. Introduction to Python Basics

    • Sandeep Nagar
    Pages 13-30

  4. IPython

    • Sandeep Nagar
    Pages 31-45

  5. Data Types

    • Sandeep Nagar
    Pages 47-61

  6. Operators

    • Sandeep Nagar
    Pages 63-86

  7. Arrays

    • Sandeep Nagar
    Pages 87-131

  8. Plotting

    • Sandeep Nagar
    Pages 133-186

  9. Functions and Loops

    • Sandeep Nagar
    Pages 187-205

  10. Object-Oriented Programming

    • Sandeep Nagar
    Pages 207-230

  11. Numerical Computing Formalism

    • Sandeep Nagar
    Pages 231-245

  12. Back Matter

    Pages 247-254
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Keywords

About this book

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
  • Applydata 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.  

Authors and Affiliations

  • New York, USA

    Sandeep Nagar

About the author

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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