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  • gajomi · 1 ✖

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  • xarray tutorial at SciPy 2018? · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
365697240 https://github.com/pydata/xarray/issues/1882#issuecomment-365697240 https://api.github.com/repos/pydata/xarray/issues/1882 MDEyOklzc3VlQ29tbWVudDM2NTY5NzI0MA== gajomi 244887 2018-02-14T18:17:53Z 2018-02-14T18:17:53Z CONTRIBUTOR

Xarray for Scalable Scientific Data Analysis

Nice title!

I know xarray has its origins and most of its current users in the earth science domains, and so I would expect much of the core of an xarray tutorial to involve various geo* flavored data, but since SciPy has attendees from so many different backgrounds it could be useful to try to survey the scope of work being done with xarray right now. I imagine there must be other users in astronomy, physics, biology and perhaps even quantitative civics/demography that could have interesting snippets to share.

For my part, I am using xarray to work with microscopy data in a biological context, and would be happy to share a snippet or two. 

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   xarray tutorial at SciPy 2018? 293913247

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