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  • choldgraf · 3 ✖

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  • DOC: from examples to tutorials · 3 ✖

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  • MEMBER · 3 ✖
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1439022617 https://github.com/pydata/xarray/issues/3564#issuecomment-1439022617 https://api.github.com/repos/pydata/xarray/issues/3564 IC_kwDOAMm_X85Vxb4Z choldgraf 1839645 2023-02-21T20:01:04Z 2023-02-21T20:01:04Z MEMBER 
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   DOC: from examples to tutorials 527323165
565605904 https://github.com/pydata/xarray/issues/3564#issuecomment-565605904 https://api.github.com/repos/pydata/xarray/issues/3564 MDEyOklzc3VlQ29tbWVudDU2NTYwNTkwNA== choldgraf 1839645 2019-12-13T20:57:01Z 2019-12-13T20:58:09Z MEMBER

For larger datasets, rather than storing them in github, a good approach is to create an archive on zenodo.org from which the data can be pulled.

Another note from MNE - we have a "datasets" sub-module that knows how to pull a few datasets from various online repositories (and in different structures). These store in a local folder (by default, ~/mne_data I believe) and then they get fast-loaded after the first download. Many of the datasets are then stored in online repositories like OSF (https://osf.io/rxvq7/).

For datasets that aren't gigantic it's a pretty nice system. https://mne.tools/stable/overview/datasets_index.html?highlight=datasets

 
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   DOC: from examples to tutorials 527323165
557633282 https://github.com/pydata/xarray/issues/3564#issuecomment-557633282 https://api.github.com/repos/pydata/xarray/issues/3564 MDEyOklzc3VlQ29tbWVudDU1NzYzMzI4Mg== choldgraf 1839645 2019-11-22T18:04:50Z 2019-11-22T18:04:50Z MEMBER

In case it's helpful for inspiration, we took a similar approach with the MNE-Python package (neuro electrophysiology package):

https://mne.tools/stable/index.html

Maybe there are at least 3 levels in there, actually:

  • Examples - short vignettes that highlight one very specific piece of functionality, key-words for the example should be ctrl-fable in the title
  • Tutorials - in-depth guides through a common part of workflow that xarray wishes to enable, with more explanation and detail
  • Domain use-cases - examples of how xarray can facilitate use-cases in particular fields. Probably cover at a high-level many of the steps that multiple tutorials cover in-depth. More for "inspiration and buy-in" than in-depth learning.

Does that make sense?

 
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   DOC: from examples to tutorials 527323165

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