Adding kernels to the main work area

The base version of JupyterLab comes with a notebook kernel for Python 3, but you can add kernel support for additional languages, such as R and Julia. You can also add Python kernels for distinct environments.

Each time you add a kernel, new Notebook and Console icons will appear in the main work area. The following example features a Sqlite3 kernel:

JupyterLab's interface makes it very easy to work with multiple languages as the different notebook kernels can easily be accessed from the main work area. 

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