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/2887#issuecomment-485962269,https://api.github.com/repos/pydata/xarray/issues/2887,485962269,MDEyOklzc3VlQ29tbWVudDQ4NTk2MjI2OQ==,6815844,2019-04-23T20:30:02Z,2019-04-23T20:30:02Z,MEMBER,"> Just to clarify, load_dataset would be equivalent to:
> 
> def load_dataset(*args, **kwargs):
>     with xarray.open_dataset(*args, **kwargs) as ds:
>         return ds.load()

Yes, that is actually in my mind.

I added a tag `good first issue` for this.
I love to implement this by myself but I don't think I have enough free time near future...

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https://github.com/pydata/xarray/issues/2887#issuecomment-482783365,https://api.github.com/repos/pydata/xarray/issues/2887,482783365,MDEyOklzc3VlQ29tbWVudDQ4Mjc4MzM2NQ==,6815844,2019-04-13T07:05:24Z,2019-04-13T07:05:24Z,MEMBER,"I didn't notice that `with` statement can be used for open_dataset.
Thanks for the comments.

I personally want to a simpler function for the daily (not so big data) analysis without caring open / close stuff. 
(and probably also for new users)
Is it too much if we add `load_dataset` function that works similar to `np.load_txt` in terms of the file handling?
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