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Beginning Julia Programming

For Engineers and Scientists

  • Sandeep Nagar

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Sandeep Nagar
    Pages 1-14
  3. Sandeep Nagar
    Pages 15-23
  4. Sandeep Nagar
    Pages 25-67
  5. Sandeep Nagar
    Pages 69-77
  6. Sandeep Nagar
    Pages 79-88
  7. Sandeep Nagar
    Pages 89-125
  8. Sandeep Nagar
    Pages 127-179
  9. Sandeep Nagar
    Pages 181-227
  10. Sandeep Nagar
    Pages 229-251
  11. Sandeep Nagar
    Pages 253-273
  12. Sandeep Nagar
    Pages 275-294
  13. Sandeep Nagar
    Pages 295-315
  14. Sandeep Nagar
    Pages 317-333
  15. Sandeep Nagar
    Pages 335-344
  16. Back Matter
    Pages 345-351

About this book

Introduction

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 science and 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.  

You will:
  • 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 


Keywords

Julia programming data science machine learning finance financial math engineering science code source

Authors and affiliations

  • Sandeep Nagar
    • 1
  1. 1.New YorkUSA

Bibliographic information

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