{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Using Python for neuroimaging data\n", "\n", "The primary goal of this section is to become familiar with loading, modifying, saving, and visualizing neuroimages in Python. A secondary goal is to develop a conceptual understanding of the data structures involved, to facilitate diagnosing problems in data or analysis pipelines.\n", "\n", "To these ends, we'll be exploring two libraries: [nibabel](http://nipy.org/nibabel/) and [nilearn](https://nilearn.github.io/). Each of these projects has excellent documentation. While this should get you started, it is well worth your time to look through these sites.\n", "\n", "This notebook only covers nibabel, see the notebook [`02b_image_manipulation_nilearn.ipynb`](02b_image_manipulation_nilearn.ipynb) for more information about nilearn." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "