[Neuroimaging] New release of nilearn

[Nate Vack]

Excellent!

nilearn is great, by the way — thanks for all your work on it.

Best,
-Nate

On Mon, Nov 19, 2018 at 10:43 AM Gael Varoquaux <
gael.varoquaux at normalesup.org> wrote:

> Hi everyone,
>
> We are happy to announce the release of version 0.5 of nilearn, a tool
> for multivariate analysis of brain imaging data in Python.
>
> Maybe the most exciting addition in this release is interactive plotting
> that naturally embeds in the Jupyter notebook, to plot volumes, surfaces,
> or connectomes:
> http://nilearn.github.io/plotting/index.html#interactive-plotting
>
> Nilearn can be used for decoding or biomarker extraction, resting-state
> fMRI analysis, or more general manipulation of brain images in Python:
> http://nilearn.github.io/user_guide.html
>
> A detailed changelog can be found at:
> http://nilearn.github.io/whats_new.html
>
> Nilearn is developed by a variety of contributors around the world:
> https://github.com/nilearn/nilearn/graphs/contributors
>
> Gaël
>
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