Functional connectivity with NiLearn: practical course

This repository contains files and other info associated with a practical course on functional connectivity with NiLearn.

Instructor:

• Gael Varoquaux @GaelVaroquaux | http://gael-varoquaux.info

These materials are "almost" finished, but will change, before the training session

Installation Notes

Please follow the nilearn installation notes: http://nilearn.github.io/introduction.html#installation

At telecom: use the local install of anaconda:

 export PATH=/cal/softs/anaconda/anaconda-2.0.1/bin/:$PATH

Reading the training materials

With the IPython notebook

The recommended way to access the materials is to execute them in the IPython notebook. If you have the IPython notebook installed, you should download the materials (see below), go the the notebooks directory, and launch IPython notebook from there by typing:

cd notebooks
ipython notebook

in your terminal window. This will open a notebook panel load in your web browser.

On Internet

If you don't have the IPython notebook installed, you can browse the files on Internet:

• For the instructions without the solutions:

  http://nbviewer.ipython.org/github/GaelVaroquaux/nilearn_course/tree/master/notebooks/

• For the instructions and the solutions:

  http://nbviewer.ipython.org/github/GaelVaroquaux/nilearn_course/tree/master/rendered_notebooks

Downloading the Tutorial Materials

The simplest way to download this material is a link above to download the contents of this repository as a zip file.

I would highly recommend using git, not only for this tutorial, but for the general betterment of your life. Once git is installed, you can clone the material in this tutorial by using the git address shown above.