University of Iowa's Interactive Data Analysis Service (IDAS) is a great way to access an interactive environment for writing analysis code while harnessing the awesome computational power of Argon. The page describing IDAS has a link to request an account, which is required to follow this guide.
Once you have an account visit this url: https://notebooks.hpc.uiowa.edu/research-interactive
That will take you to a page to request resources for your computational environment.
TODO:
- recommendations for resources
- mounting the hackathon data
- selecting python
When the jupyter notebook interface is open, you are ready to install some packages to help you get productive quickly.
- First click new on the right hand side of the jupyter notebook interface.
- Then click terminal so we can enter some commands.
- Type the following to get the code we are going to run.
git clone https://github.com/jdkent/2020-comp_psych_hackathon.git
- Change directories into
2020-comp_psych_hackathon
.cd 2020-comp_psych_hackathon
- run
setup.sh
. You should see a bunch of text on the screen as the software is downloaded../setup.sh
- Click on the jupyter logo after
setup.sh
is done. - Click on
new
again and selectbp_hack
From here you can start writing python code and building models! You can checkout nilearn and scikit-learn for inspiration. (Perhaps further tutorials incoming).