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  • Better support for batched/out-of-core computation · 3 ✖

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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
141844930 https://github.com/pydata/xarray/issues/79#issuecomment-141844930 https://api.github.com/repos/pydata/xarray/issues/79 MDEyOklzc3VlQ29tbWVudDE0MTg0NDkzMA== shoyer 1217238 2015-09-20T23:28:22Z 2015-09-20T23:28:22Z MEMBER 
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   Better support for batched/out-of-core computation 29921033
45769786 https://github.com/pydata/xarray/issues/79#issuecomment-45769786 https://api.github.com/repos/pydata/xarray/issues/79 MDEyOklzc3VlQ29tbWVudDQ1NzY5Nzg2 jreback 953992 2014-06-11T17:03:05Z 2014-06-11T17:03:05Z MEMBER

FYI in the pointed to PR joblib does work (w/o dill actually). but IPython.parallel still is not working how I want it.

 
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   Better support for batched/out-of-core computation 29921033
45769376 https://github.com/pydata/xarray/issues/79#issuecomment-45769376 https://api.github.com/repos/pydata/xarray/issues/79 MDEyOklzc3VlQ29tbWVudDQ1NzY5Mzc2 shoyer 1217238 2014-06-11T16:59:46Z 2014-06-11T16:59:46Z MEMBER

Related pandas issue: pydata/pandas#5751

 
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   Better support for batched/out-of-core computation 29921033

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