html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/2378#issuecomment-415230263,https://api.github.com/repos/pydata/xarray/issues/2378,415230263,MDEyOklzc3VlQ29tbWVudDQxNTIzMDI2Mw==,1217238,2018-08-23T00:20:44Z,2018-08-23T00:20:44Z,MEMBER,"I agree that advertising tutorials prominently would be a real win. The current xarray documentation leans towards being an authoritative reference, which is less helpful for new users.

Throwing out some ideas for :

- Xarray for geoscience users
    - load/save netCDF data
    - calculate climatologies
    - regridding/interpolation? maybe using xESMF?
- Xarray for general data analysis
   - show how xarray does alignment like pandas
   - show how xarray does broadcasting (sort of like numpy) 
   - show how xarray works easily with numpy and pandas
- Xarray for parallel computing
   - show how everything scales up with dask?","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,353150483