playing with docker
From time to time I get a very short opportunity to try and do some science, and I find the context switching harder and harder. To that end, I want to make more use of ipython-notebook.
Nowadays my compute environment is a macbook pro running mavericks, and I have two VMS built: a JASMIN analysis platform (JAP) image (based on Centos, for science) and a Linux Mint image (primarily to give me a route to reliable LibreOffice - unlike the version running on the Mac). Both can run ipython notebook, but I couldn’t work out how to get that visible to browsers running in my Mac environment (which is what I wanted this time).
I could probably have worked that out, but I thought, it’s about time I got some hands on experience with docker, since everyone is raving about it, and folks in my team are also starting to use it … so why not try that route?
Herewith a couple of hours on a Saturday afternoon and another hour or so on a Sunday morning:
I got boot2docker working, and then I thought I’d try out the continuumio anaconda image … but I immediately discovered that it didn’t have netcdf4 and basemap by default (and that matplotlib was broken), so herewith my first dockerfile:
# aims to run basemap, and eventually, cf-python # the anaconder base image is itself based on debian FROM continuumio/anaconda MAINTAINER Bryan Lawrence <email@example.com> # as of May 10, 2015 the base image needs this to work with matplotlib: RUN apt-get -y install libglib2.0-0 # now the stuff we want RUN conda install netcdf4 RUN conda install basemap
I was able to build that using
docker build -t bnlawrence/cfconda .
and run it using:
docker run -it -v $(pwd):/usr/data -w /usr/data -p 8888:8888 bnlawrence/cfconda
(from within a directory on the mac where I wanted my notebooks to reside.) I then have to run
ipython notebook --ip=0.0.0.0 --no-browser
inside the container, whereupon, as if by magic, I can access my notebooks on the mac at
(I would have liked to have run the notebook directly on the end of the docker run statement, but when i do that, the notebook kernel seems to be really unstable and repeatedly crash. I don’t know why.)
Now, hopefully I can start using ipython notebook during my working week …