* Use Spark 1.6.0
* Use Apache Toree (new name/home of ibm-et/spark-kernel)
* Add missing pub key for binary
* Add SHA check for spark package download
(c) Copyright IBM Corp. 2016
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
* Pass $@ args to start-notebook.sh
* Set tini as entrypoint, but keep start-notebook.sh as easily overridable CMD
* su to jovyan user within start-notebook.sh script
Contribution (c) Copyright IBM Corp. 2015
* Always remain as root during install
* Put kernel specs in system path, not user home
* Create user work directory at startup
* Note this is in 4.0 and up images, not 3.2
Contribution (c) Copyright IBM Corp. 2015
* Change minimal-notebook to install notebook=4.0*
* Change other Dockerfile to point to 4.0 Docker Hub tag (to be built)
* Change config and pem file paths for jupyter
* Install ipywidgets in all containers that have a Python stack
* Update all READMEs to describe v3.2 and v4.0 since Docker Hub only shows one README for all tags
Contribution (c) Copyright IBM Corp. 2015