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Set Up and Tools

In this section, we'll review the tools we need to install locally get JupyterHub running on a remote sever.

• Set Up and Tools
  • File Locations and Directory Structure
  • Development tools
    • OpenSSL
    • Python Editors
    • Digital Ocean
  • Summary
  • Next Steps

Before we launch into the server setup, let's quick review where certain files are going to go on the JupyterHub remote server.

File Locations and Directory Structure

According to the JuptyerHub docs:

The folks at JupyterHub recommend that we put all of the files used by JupyterHub on the server into standard UNIX filesystem locations:

• /srv/jupyterhub for all security and runtime files
• /etc/jupyterhub for all configuration files
• /var/log for log files

Development tools

OpenSSL

Before we create the remote server, a set of private/public SSH keys are needed. SSH keys can be created with OpenSSL which is commonly installed on any unix-like system.

Python Editors

I use a couple of different Python code editors. My favorites are Emacs and PyCharm, but Visual Studio Code is also a good choice. You can download and install Visual Studio Code here. PyCharm has a community edition which is free, and a professional version which requires a license.

Digital Ocean

This JupyterHub deployment runs on a Virtual Machine set up by the local "Rechnerbetriebsgruppe". Request a server with maximum CPUs and RAM running the latest Ubuntu LTS (18.04 was current at the time of writing this). Details on the registration process are available at the VM wiki page.

Summary

JupyterHub has a set of standard file locations where we will put our configuration and runtime files.

Next Steps

The next step is to create a public-private SSH key pair with openssl. We'll use this public-private SSH key to log into the server with ssh.