
Step3: Launch Jupyter notebook on Browser. Step 2: Select the Scala kernel in the notebook, by creating a kernel spec, using the following command. Step 1: Launch terminal/powershell and install the spylon-kernel using pip, by running the following command. Installation Scala Kernal in Jupyter:įollow the below steps to install Scala Kernal in Jupyter Pre-requisite: Running Scala on Jupyter will require JRE to be installed, with its PATH environment variable set to Java bin folder(C:\Program Files\Java\jre1.8.0_211\bin in our case).
#Install jupyter notebook for mac how to
In this article, we will see how to install spylon-kernel and configure it to build Scala-based projects on Jupyter.
While it’s a tool with extensive support for python-based development of machine learning projects, one can also use it for Scala development as well, using the spylon-kernel. Jupyter notebook is widely used by almost everyone in the data science community.
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