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Last modified by ldomide on 2024/04/08 12:55

From version 28.1
edited by ldomide
on 2022/11/02 11:52
Change comment: There is no comment for this version
To version 29.1
edited by dionperd
on 2022/11/07 19:52
Change comment: There is no comment for this version

Summary

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22 22  
23 23  == Use our Jupyter Hub setup online ==
24 24  
25 -We have setup a Jupyter Hub service with tvb-multiscale as backed already prepared. You will only need an HBP account for accessing this: [[https:~~/~~/tvb-nest.apps.hbp.eu/>>url:https://tvb-nest.apps.hbp.eu/]]
25 +We have setup a Jupyter Hub service with tvb-multiscale as backed already prepared. You will only need an HBP account for accessing this: [[https:~~/~~/tvb-multiscale.apps.hbp.eu/>>https://tvb-multiscale.apps.hbp.eu/]]
26 26  
27 27  This JupyterHub installation works smoothly with HBP Collab user credentials (login only once at HBP and get access here too). We use a custom Docker Hub tvb-multiscale image as a backend, and thus a ready to use environment is available immediately, without the need of any local installation or download. This should be the ideal env for demos, presentations or even workshops with tvb-multiscale.
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40 40  
41 41  See more on Github [[https:~~/~~/github.com/the-virtual-brain/tvb-multiscale>>url:https://github.com/the-virtual-brain/tvb-multiscale]]  and check this notebook example: [[https:~~/~~/drive.ebrains.eu/f/b3ea5740fcc34f12af7a/?dl=1>>url:https://drive.ebrains.eu/f/b3ea5740fcc34f12af7a/?dl=1]]
42 42  
43 -This notebook will be ok to download and try yourself locally, after you have also prepared and launched locally a Docker env: [[https:~~/~~/hub.docker.com/r/thevirtualbrain/tvb-nest>>url:https://hub.docker.com/r/thevirtualbrain/tvb-nest]]
43 +This notebook will be ok to download and try yourself locally, after you have also prepared and launched locally a Docker env: [[https:~~/~~/hub.docker.com/r/thevirtualbrain/tvb-multiscale>>https://hub.docker.com/r/thevirtualbrain/tvb-multiscale]]
44 44  
45 45  This is the path recommended for people working closely with tvb-multiscale. They are able to download it in their local work env and code freely and fast with it.
46 46