Introduction to Python for Engineers and Scientists: Open Source Solutions for Numerical Computation

Introduction to Python for Engineers and Scientists: Open Source Solutions for Numerical Computation Front Cover
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2018-01-07
254 pages

Book Description

Familiarize yourself with the basics of Python for and computations using this concise, practical tutorial that is focused on 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 in engineering and science
  • Discover the Pythonic way of life
  • Apply data types, operators, and arrays
  • Carry out plotting for
  • 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.

Table of Contents

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

Book Details

  • Title: Introduction to Python for Engineers and Scientists: Open Source Solutions for Numerical Computation
  • Author:
  • Length: 254 pages
  • Edition: 1st ed.
  • Language: English
  • Publisher:
  • Publication Date: 2018-01-07
  • ISBN-10: 1484232038
  • ISBN-13: 9781484232033
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