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Beginning Julia Programming

For Engineers and Scientists

  • Book
  • © 2017

Overview

Authors:
  1. Sandeep Nagar

    1. New York, USA

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  • Obtain core skills in Julia
  • Learn to apply Julia in engineering and science applications
  • Master the use of arrays, strings, functions, control flow, and I/O in Julia

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Introduction

    • Sandeep Nagar
    Pages 1-14

  3. Object-Oriented Programming

    • Sandeep Nagar
    Pages 15-23

  4. Basic Math with Julia

    • Sandeep Nagar
    Pages 25-67

  5. Complex Numbers

    • Sandeep Nagar
    Pages 69-77

  6. Rational and Irrational Numbers

    • Sandeep Nagar
    Pages 79-88

  7. Mathematical Functions

    • Sandeep Nagar
    Pages 89-125

  8. Arrays

    • Sandeep Nagar
    Pages 127-179

  9. Arrays for Matrix Operations

    • Sandeep Nagar
    Pages 181-227

  10. Strings

    • Sandeep Nagar
    Pages 229-251

  11. Functions

    • Sandeep Nagar
    Pages 253-273

  12. Control Flow

    • Sandeep Nagar
    Pages 275-294

  13. Input Output

    • Sandeep Nagar
    Pages 295-315

  14. Plotting

    • Sandeep Nagar
    Pages 317-333

  15. Metaprogramming

    • Sandeep Nagar
    Pages 335-344

  16. Back Matter

    Pages 345-351
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Keywords

About this book

Get started with Julia for engineering and numerical computing, especially data science, machine learning, and scientific computing applications. This book explains how Julia provides the functionality, ease-of-use and intuitive syntax of R, Python, MATLAB, SAS, or Stata combined with the speed, capacity, and performance of C, C++, or Java. You’ll learn the OOP principles required to get you started, then how to do basic mathematics with Julia. Other core functionality of Julia that you’ll cover, includes working with complex numbers, rational and irrational numbers, rings, and fields.  


Beginning Julia Programming takes you beyond these basics to harness Julia’s powerful features for mathematical functions in Julia, arrays for matrix operations, plotting, and more. Along the way, you also learn how to manage strings, write functions, work with control flows, and carry out I/O to implement and leverage the mathematics needed for your data scienceand analysis projects.


"Julia walks like Python and runs like C". This phrase explains why Julia is quickly growing as the most favored option for data analytics and numerical computation. After reading and using this book, you'll have the essential knowledge and skills to build your first Julia-based application.  


What You'll Learn
  • Obtain core skills in Julia 
  • Apply Julia in engineering and science applications
  • Work with mathematical functions in Julia 
  • Use arrays, strings, functions, control flow, and I/O in Julia
  • Carry out plotting and display basic graphics 



Who This Book Is For


Those who are new to Julia; experienced users may also find this helpful as a reference.


Authors and Affiliations

  • New York, USA

    Sandeep Nagar

About the author

Sandeep Nagar, Ph.D. teaches and consults on the use of Julia for data science/analysis and other open source software for data science. In addition to teaching at universities, he frequently gives workshops covering open source software.

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