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coursera-neuraldata

This repo is for those familiar with Docker and
currently taking the Neural Data coursera
course
. Instead of Anaconda, we
leverage Docker to create easily reproducible environments.

how to use

Extract the desired problem sets from ./problem-sets under the ./my-work
directory. my-work is where you keep your solutions, and it is not committed to
git.

Next, install Docker (or boot2docker if you use Mac), and run make. This will
drop you in a bash shell with all the Python requisites installed, with my-work
being the current directory. You may edit the problems (extracted under my-work)
using the editor of your choice, and submit them directly from the docker shell.

This is still a work-in-progress as I work through the course.

IPython notebook

Run make notebook followed by opening http://${DOCKER_HOST}:8888 in your
browser.

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Owner
srid
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