#USE JULIA IN JUPYTER NOTEBOOK TUTORIAL HOW TO#

#USE JULIA IN JUPYTER NOTEBOOK TUTORIAL HOW TO#

We have also shown how to add new programming languages such as C or provide bash scripting support in Jupyter Notebook or JupyterHub. In this tutorial, we explain the steps to install and configure Jupyter Notebook and JupyterHub on an IBMВ® Power Systemsв„ў server. It is useful when a group of participants wants to work on the same notebook, for example, offer hands-on demo to a group of people where each participant wants to experiment in their own work space. JupyterHub is a multi-user version of Jupyter Notebook which spawns and manages multiple instances of a single-user Jupyter Notebook server. Typically, Jupyter Notebook is designed as a single user application. Though originally designed for Python, Julia, and R languages, now it supports more than 100 programming and scripting languages. Users can also visualize data or result in the form of graphs or images within Jupyter Notebook. It consists of code and markdown cells where users can write code, equations, or markup text. Jupyter Notebook has become popular among students, researchers, and data scientists to create and share documents, conduct data analysis and visualization, learn or teach a programming, and so on. You can use Jupyter Notebook for numerical simulation, statistical modeling, machine learning, and much more. As described in the Project Jupyter website, Jupyter Notebook is an open-source web application that allows you to create and share documents containing live code, equations, visualizations and explanatory text.

Use julia in jupyter notebook tutorial