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.
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.
Run make notebook followed by opening http://${DOCKER_HOST}:8888 in your
browser.
Content type
Image
Digest
sha256:0558219b9…
Size
220.9 MB
Last updated
almost 11 years ago
docker pull srid/coursera-neuraldata