Instructions for the exercises are provided in the file ANDA2024_Training_Spectral.pdf
.
Exercises for individual methods are contained in the test-*
files. The second part of the exercise is contained in the notebook ANDA2024_Spectral_DataAnalysis.ipynb
.
To get started, create a Python environment using the environment.yml
file provided.
The folder tutorials/notebooks
contains a series of 5 exercises based on the Frites software package, which are replicated from https://github.com/brainets/CookingFrites.
Part 0 explains the usage of xarray
, a Python package used to represent data in Frites. Tutorials 1-4 then cover the various stages of a Frites workflow based on an example sEEG dataset. Information on the various stages of the workflow, and on the dataset details are located in the folder tutorials/slides.html
. Each tutorial goes through a sequence of processing steps on the example datasets, and ends on a practical exercise to explore the dataset further.