Creating Jupyterhub on Google Cloud Platform (GCP)

This is a short tutorial on installing Jupyterhub on Kuberntes using the Cloud Shell and the Carme package. This is convenient as you don’t have to install anything (Google CLI/Helm) locally. Why JupyterHub on Kubernetes Let’s say that you want to do a training session on Deep Learning for everyone here. Well first we could spend 45 minutes getting everyones laptop setup to be able to be able to run the sample code.

Creating Jupyterhub on Azure with Cloud Shell

This is a short tutorial on installing Jupyterhub on Azure using the Cloud Shell and the Carme package. This is convenient as you don’t have to install anything (Azure CLI/Helm) locally. You must first log onto the Azure web portal and have an active subscription. Click on the button below to launch the cloud shell. We will start by installing Carme on the Azure Shell. wget https://raw.githubusercontent.com/CarmeLabs/carme/master/scripts/get/get_carme.sh source get_carme.

Creating Jupyterhub on Azure using a Jupyter Notebook

This is a short tutorial on installing Jupyterhub using a Jupyter notebook. You must have Azure the Azure CLI, Helm, and Conda installed locally. See instructions for installing the Azure CLI here. See instructions for installing the Helm Client here. See instructions for installing the Conda here. We will start by installing carme. wget https://raw.githubusercontent.com/CarmeLabs/carme/master/scripts/get/get_carme_conda.sh source get_carme_conda.sh This will activate the virtual environment with Carme installed. If in the future you log in again this will not be installed but not active.