Course add-ons

Let there be post-workshop training

Following the statements above, we additionally compiled a list of hopefully helpful resources concerning python and specially neuroimaging analyses in python. Importantly, these are not course pre-requisites but meant to provide you with some ideas of what’s possible in python with comparably few lines of code that are also very intelligible. Please note that this list will be constantly extended. As other parts of the content, they are jupyter notebooks that can be run interactively (via the little rocket on the top right) or locally (via the download button on the top right) and mix theoretical background with actual code so that folks can familiarize themselves with the corresponding topics.

Introduction to NumPy

Introduction to SciPy

Introduction to Visualization in python

Introduction to Statistics in python

Visualization for data in python

Introduction to scikit-learn & scikit-image

Introduction to Neuroimaging in python - Nibabel

Introduction to Neuroimaging in python - Nilearn

Introduction to fMRI analyses in python

Introduction to fMRI functional connectivity in python

Introduction to diffusion imaging in python

Neuroimaging - Machine learning - preparation

Neuroimaging - Machine learning - Nilearn

Neuroimaging - Machine learning - Keras

Neuroimaging - Machine learning - predicting age

Hakuna matata

We can’t stress this enough: it’s all ok, don’t let the imposter syndrome get the better of you.

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