Get Started with Julia – Hello World

In this post, you will learn about instructions to set up Julia and getting started with Julia using Anaconda / Jupyter Notebook with information on learning resources in relation to Data Sciences / Machine Learning. 

Download & Setup Julia

First and foremost, let’s get set up / install Julia. Go to the Julia download page and download the install package based on your operating system. I downloaded the dmg file for Mac, double clicked on the dmg file and installed the Julia. The installation was pretty easy.  

Double-click on Julia application or execute Julia command and it starts an interactive session (terminal) also known as REPL session. The simplest way to learn Julia is through interactive session. Get started with creating a variable named as greetings = “Hello World”. Here is the screenshot:

Setup Julia for Jupyter Notebook

Here are the commands for you to get started with Julia using Jupyter Notebook. It is assumed that you have already installed Anaconda.

Execute the following command in Julia REPL / interactive session window.

using Pkg
#
#
Pkg.add("IJulia")

Here is how the execution will look like:

Once done, launch the Jupyter Notebook from Anaconda window. This will open up Jupyter in browser. Click on New in top-right (as hown in the figure given below) and you will find Julia and Python. Click on Julia related option and you are good to go.

Get started with Julia Hello World in Jupyter Notebook as shown in the below screenshot.

Julia Learning Resources

You could get started on Julia by taking up free courses available on https://juliaacademy.com/ in relation to data sciences / machine learning

• Introduction to Julia
• Julia for Data Science
• Foundations of Machine Learning
• Introduction to Dataframes.jl

• Author
• Recent Posts

Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

Latest posts by Ajitesh Kumar (see all)

• Agentic Reasoning Design Patterns in AI: Examples - October 18, 2024
• LLMs for Adaptive Learning & Personalized Education - October 8, 2024
• Sparse Mixture of Experts (MoE) Models: Examples - October 6, 2024