Obtain core skills in JuliaLearn to apply Julia in engineering and science applicationsMaster the use of arrays, strings, functions, control flow, and I/O in Julia
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.
351 Pages
Computers + Internet,
Description
Book Synopsis
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
From the Back Cover
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
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.
Dimensions (Overall): 10.0 Inches (H) x 7.0 Inches (W) x .78 Inches (D)
Weight: 1.43 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 351
Genre: Computers + Internet
Publisher: Apress
Theme: General
Format: Paperback
Author: Sandeep Nagar
Language: English
Street Date: November 27, 2017
TCIN: 1011989134
UPC: 9781484231708
Item Number (DPCI): 247-15-3772
Origin: Made in the USA or Imported
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