Packt Admin
Updated Oct 03, 2019

Course Overview

Julia is an easy-to-read language invented by MIT. It uses a simple uncluttered syntax intended to make linear algebra, big data, and AI solutions easy to specify and quick to execute. This course begins with an overview where you will learn how to install and run Julia. As well as the basics, you will explore Primitive, Abstract and Composite types. This course will teach you variables, scope (local and global, static and dynamic), and constants. With this course, you will be able to carry out string operations and pattern matching. You will further learn to control structures, functions, tasks, and blocks. By the end of this course, you will have explored I/O and advanced fundamentals, by carrying out vector and matrix operations.

Target Audience

This video is for statisticians and data scientist who would like to learn the basics of Julia and its fundamentals. Basic knowledge of mathematics is needed.

This video is part of the course Learning Julia 1.0.

Demonstrate methods by defining a function with more than one method using the volume of a cylinder.

  • Show the example using Float64 for radius and height
  • Show dispatch priority. Also, show what can go wrong using cuboid(l,h,d)=l*h*d
  • Show sametype(x,y) checking and show how to use append function