Using Microsoft Azure Data Science Virtual Machines in your teaching and Research Labs
First published on MSDN on Jan 11, 2018 Running Data Science VM on Azure for your data science and deep learning lab resourcesCreate the lab infrastructure as followsUse a shared pool of Ubuntu Data Science VMs (with GPUs if doing deep learning) with each student getting a separate account.Running JupyterHub on and off campus Architectural Scenarios
First published on MSDN on Aug 10, 2017 Dedicated Hardware Environments for hosting JupyterHubOn premise – Own Maintain, secure and Operate the servicesInstallationJupyterHub can be installed with pip (and the proxy with npm) or conda:pip, npm:python3 -m pip install jupyterhubnpm install -g configurable-http-proxypython3 -m pip install notebook # needed if running the notebook servers locallyconda (one command installs jupyterhub and proxy):conda install -c conda-forge jupyterhub # installs jupyterhub and proxyconda install notebook # needed if running the notebook servers locallyTest your installation.
