Installing a Jupyter kernel
Jupyter kernels are “connections” through which a notebook (or other part of JupyterLab) can talk to a particular interpreter. CDSW includes one kernel in each JupyterLab Runtime: Python 3.6, Python 3.7, or Python 3.8.
Jupyter kernels are “connections” through which a notebook (or other part of JupyterLab) can talk to an interpreter. ML Runtimes come with a Jupyter kernel for Python 3.6, 3.7 or 3.8 preinstalled, but you may also install Jupyter kernels for bash or JavaScript/TypeScript.
bash
The following example describes how to enable a bash kernel in a particular project.
- Launch a JupyterLab session.
- Open a terminal window and run the following command:
pip install bash_kernel python -m bash_kernel.install
You should now have the option to launch bash notebooks and consoles.
JavaScript and TypeScript
The following example describes how to enable JavaScript and TypeScript kernels in a particular project. .
- Customize your PATH environment variable:
- Navigate to Project Settings/Advanced.
- Set PATH to
$HOME/node_modules/.bin:$PATH.
- Launch a JupyterLab session.
- Open a terminal window and run the following command:
npm install tslab tslab install
You should now have the option to launch JavaScript and TypeScript notebooks and console.
