Beginning Julia Programming: For Engineers and Scientists - Softcover

Nagar, Sandeep

Softcover

ISBN 10: 1484231708 ISBN 13: 9781484231708

Verlag: Apress, 2017

Inhaltsangabe

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.

Über diesen Titel

Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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.

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
  

Details zur Ausgabe

• Verlag: Apress
• Erscheinungsdatum: 2017
• Sprache: Englisch
• ISBN 10: 1484231708
• ISBN 13: 9781484231708
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 376
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland