Adding the Julia Kernel

Now, let’s actually dive into the steps of adding Julia Kernel to Jupyter Notebook:

Step 1: Download and Install

You can install it from their official website Install Julia

Now, Open the Julia command-line, also known as the REPL:

Step 2: Install the IJulia Package

To integrate Julia with Jupyter Notebook, you need to install the Ijulia package, which provides the necessary functionality to create a Julia kernel for Jupyter Notebook.

For this, enter the following Julia commands in the Julia REPL and press Enter:

using Pkg

Then, run this command and press Enter

Pkg.add("IJulia")

This installs the IJulia package which allows Julia to interface with Jupyter Notebook.

Step 3: Launch Jupyter Notebook

In your terminal/command prompt, run the following command to start Jupyter Notebook:

jupyter notebook

This command will open the Jupyter Notebook server, and a new web browser window or tab should appear with the Jupyter interface.

Step 4: Create or Open a Notebook

Once you have Jupyter Notebook running, you can create a new notebook or open an existing one.

• To create a new notebook, click on the “New” button on the Jupyter dashboard and select the “Julia” environment.
• To open an existing notebook, navigate to the notebook’s location and click on it.

Step 5: Select the Julia Kernel

In the Jupyter Notebook interface, you can choose the Julia kernel for your notebook. Here’s how:

• When creating a new notebook, you can select “Julia” from the dropdown menu in the top-right corner of the Jupyter interface.
• If you’re opening an existing notebook, you can change the kernel to “Julia” by clicking on the “Kernel” menu and selecting “Change Kernel”. From there, choose “Julia” as your current kernel.

This will successfully add Julia Kernel to Jupyter Notebook. You can now write and execute Julia code, create visualizations, and document your work within the notebook.

Example:

Let’s illustrate how to use Julia within Jupyter Notebook with a simple code example:

Output:

Square of 1 is 1
Square of 2 is 4
Square of 3 is 9
Square of 4 is 16
Square of 5 is 25

Jupyter Notebook is a popular interactive open-source web application that helps you to create and share documents containing live code, equations, visualizations, and text. Because of its interactive and versatile nature, it has become an indispensable tool for data scientists, engineers, and researchers. It supports various programming languages, including Python, R, and Julia. In this article, we’ll understand how to add a Julia kernel to Jupyter Notebook, which will allow you to make great use of the power of the Julia programming language within the Jupyter environment.