Why use Julia with Jupyter?
Julia is a high-level, high-performance programming language that is designed for high-level technical computations. It is very easy to use and has remarkably fast speed, making it popular day by day among researchers and the data community. Combined with the Jupyter Notebook, it becomes an even more versatile tool for data analysis, scientific computations, and research. We will now learn to install the Julia and set it up for the Jupyter Notebook.
Prerequisites
Before diving into adding Julia kernel to Jupyter, ensure you have the below prerequisites fulfilled.
- Julia
- Jupyter Notebook – You can install using the command on your terminal/command prompt :
pip install jupyter
Add Julia Kernel to Jupyter
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.