Beginning Julia Programming

1. Front Matter

   Pages i-xxi

   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

    PDF

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.

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

• New York, USA

  Sandeep Nagar

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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