issue_comments: 162426520
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/issues/672#issuecomment-162426520 | https://api.github.com/repos/pydata/xarray/issues/672 | 162426520 | MDEyOklzc3VlQ29tbWVudDE2MjQyNjUyMA== | 1217238 | 2015-12-07T06:46:40Z | 2015-12-07T06:46:40Z | MEMBER | Those sorts of operations should be easily parallelized, although depending on what you're doing with the data they might also be IO bound. It's worth experimenting with chunk sizes. For control on the number of threads, see his page: http://dask.pydata.org/en/latest/scheduler-overview.html#configuring-the-schedulers |
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