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.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!