Beginning Julia Programming (eBook)

For Engineers and Scientists

Sandeep Nagar (Autor)

eBook Download: PDF

2017 | 1st ed.
XXI, 351 Seiten
Apress (Verlag)
978-1-4842-3171-5 (ISBN)

Infos

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.  

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.

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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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."e;Julia walks like Python and runs like C"e;. 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 LearnObtain core skills in Julia Apply Julia in engineering and science applicationsWork with mathematical functions in Julia Use arrays, strings, functions, control flow, and I/O in JuliaCarry out plotting and display basic graphics Who This Book Is ForThose who are new to Julia; experienced users may also find this helpful as a reference.

Inhalt

1. Introduction.- 2. Object Oriented Programming.- 3. Basic Mathematics with Julia.- 4. Complex Numbers.- 5. Rational and Irrational numbers.- 6. Mathematical Functions.- 7.Arrays.- 8. Arrays for Matrix Operations.- 9. Strings.- 10. Functions.- 11. Control Flow.- 12. Input Output.- 13. Plotting.

Produkt-Details

• Erscheint lt. Verlag: 25.11.2017
• Zusatzinfo: XXI, 351 p. 20 illus., 18 illus. in color.
• Verlagsort: Berkeley
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge
• Themenwelt: Informatik ► Theorie / Studium ► Compilerbau
• Themenwelt: Mathematik / Informatik ► Mathematik
• Schlagworte: Code • Data Science • Engineering • Finance • Financial • Julia • machine learning • Math • programming • Science • source
• ISBN-10: 1-4842-3171-6 / 1484231716
• ISBN-13: 978-1-4842-3171-5 / 9781484231715