* Bump `base-notebook`
* OS version
* `jupyterlab`
* Bump `scipy-notebook`
* `beautifulsoup4`
* `cloudpickle`
* `dask`
* `numba`
* `xlrd`: version specified (it was not the case)
* Bump `datascience-notebook`
* `r-devtools`
* `r-forecast`
* Julia version
* Test added to check if Julia is correctly installed (`julia --version`)
* Note: A new version of `r-base` is out `4.0.0` however it cannot be installed yet since dependencies with other packages cannot be resolved.
* Bump `r-notebook`
* Same as `datascience-notebook` except Julia.
* Bump `all-spark-notebook`
* `r-sparklyr`
- Bump root container version
- Bump packages of
- scipy-notebook
- r-notebook
- datascience-notebook
- add -y flag to jupyter lab commands in scipy-notebook
- Fix a bug in check outdated packages when packages installed through pip
The e1071 R package is a dependency of functions within the caret package. Without it, `caret::train` (for example) cannot be run. This pull request addresses issue #889 (https://github.com/jupyter/docker-stacks/issues/889).
note - I first tried installing e1071 in the RUN command started on line 27 but that resulted in e1071 not installing (don't know why) but adding an additional RUN command led to succesful installation... So I just went with it.
This commit adds the additional `-f` force command to all uses of `conda
clean --all` through the repo. Size should be smaller, but still testing
if anything breaks. See issue #861.
- any files the user should be able to write should have group `user-permissions` with `g+rwX`
- remove `chown` from start.sh because it is no longer needed
- add `fix-permissions` script for setting the user-writable permissions on a path
- user-permissions group as GID 10000 (is there a reason for it to have a different value?)
- containers can set group with `--group-add user-writable` if they want to run with a different uid/gid
(without -u root -e NB_UID -e NB_GID, which make this unnecessary)
- add a few missing `--system` flags to conda config
- install default notebook config to /etc/jupyter instead of ~/.jupyter
- add a few missing `conda clean`s
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.
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
* 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
