Course add-ons
Contents
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 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
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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