Beginning Julia Programming [electronic resource] : For Engineers and Scientists /
Nagar, Sandeep.author.
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.   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 .
Includes bibliographical references at the end of each chapters and index.
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.
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.   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 .
Programming languages (Electronic computers).
Mathematical logic.
Big data.
Computer programming.
Programming Languages, Compilers, Interpreters.
Mathematical Logic and Formal Languages.
Big Data.
Programming Techniques.