issue_comments: 289790484
This data as json
| 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/1334#issuecomment-289790484 | https://api.github.com/repos/pydata/xarray/issues/1334 | 289790484 | MDEyOklzc3VlQ29tbWVudDI4OTc5MDQ4NA== | 1478822 | 2017-03-28T14:36:05Z | 2017-03-28T14:36:05Z | NONE | This is true. I find that the Pandas creators assume too many things about the user. Not wanting to imply dumbing down, but users in science come to a module with a specific problem in mind, not to learn the module from scratch. Most of us are quick learners that can handle a steep learning curve if the docs/examples are rich in relevant info (intensive), which need not be long and drawn out. It would have been a better assumption to think that users such as myself are familiar with netCDF4, HDF4, Numpy, rather than the younger modules such as dask, xarray, and pandas, and draw associations from there. |
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