This is the latest stable release of Julia.
I also cleaned up the package operations and added `QuantEcon/InstantiateFromURL.jl`, which is a small utility for binding Julia dependency information to a Jupyter notebook.
Builds fine on my local machine.
The `r` channel has been considered part of `defaults` since `conda` version `4.3.0`. So it should already be taken into consideration by `conda` installs without having to explicitly add the channel. Further the `conda-forge` channel has incorporated an ever growing, healthy stack of R packages. As such it appears all of the R packages used in this stack now come from `conda-forge` and not `defaults`. Given all of this, it seems safe to drop the `r` channel from explicit addition to the channel list.
- 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.
* create `.juliarc.jl` start up script to point Julia to conda libraries, specifically the hdf5 libraries installed through the h5py package in the scipy stack
* add the HDF5 Julia package
Update README.md to document HDF5 addition
Add -F option to force config load
Add the -F flag to julia expression execution to load .juliarc.jl before execution.
