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 Juliäs 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
LearnObtain 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 ForThose who are new to Julia
experienced users may also find this helpful as a reference.