* Upgrade to latest debian base image
* Upgrade to Notebook 4.3
* Upgrade to Miniconda 4.2.12
* Remove USE_HTTPS env var in favor of command line options for key and cert
* Add GEN_CERT env var for generating a self-signed certificate
* Remove PASSWORD env var in favor of the new Notebook 4.3 default token auth
or the more secure a hashed password command line option
As per [their blog post of the 27th April](https://blog.readthedocs.com/securing-subdomains/) ‘Securing subdomains’:
> Starting today, Read the Docs will start hosting projects from subdomains on the domain readthedocs.io, instead of on readthedocs.org. This change addresses some security concerns around site cookies while hosting user generated data on the same domain as our dashboard.
Test Plan: Manually visited all the links I’ve modified.
base-notebook defines environment variables for the Conda install path and the
notebook user. However, in some instances, these locations were still hardcoded.
Let’s use the variables instead.
stacks easily usable with JupyterHub.
* pip install jupyterhub to gain access to the jupyterhub-singleuser
startup script, which starts a single-user instance of the Notebook
server
* Add shell script to wrap jupyterhub-singleuser script; use as
alternate Docker command
fixes#181
(c) Copyright IBM Corp. 2016
This is done to more explicitly track what version of Debian Jessie is
being used as a base image. It will also ensure that it is properly
updated on the VM even if we forget. This also should help CI and VM
builds stay speedy by using the cache even when there is a newer version
of Debian Jessie. In the long run, we may wish to re-evaluate this
strategy and fix our CI and deployment systems so as to be able to use
the latest version of Debian Jessie with important CVE and other fixes.
Bite the bullet and preinstall it so that plotting libs that default
to using desktop rendering just work (matplotlib, ggplot, ...)
out of the box without having to get configuration right beforehand
(e.g., %matplotlib inline ahead of matplotlib import)
Only adds ~100k to the image size
(c) Copyright IBM Corp. 2015
