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I am going to edit the description since it is not referring to libraries correctly. @ferrigno , if you want to pose a legitimate question but do not know the implementation details, I'd say it's better not to guess but specify your point accurately, and leave implementation details for discussion.
As I see the use case issue, it is that @ferrigno wants more details on output types. I agree that it's good to expand the example repository and also add a section in the manual about these examples, with screenshots.
I will leave the original content for the reference.
To exploit the functionalities of the frontend tab generator, it is important to use the oda_api.data_product especially for fits files and numpy tables. It is necessary to expand the documentation on this part.
Also the running with nb2workflow.run requires output to be formatted using data_products
The text was updated successfully, but these errors were encountered:
I am going to edit the description since it is not referring to libraries correctly. @ferrigno , if you want to pose a legitimate question but do not know the implementation details, I'd say it's better not to guess but specify your point accurately, and leave implementation details for discussion.
As I see the use case issue, it is that @ferrigno wants more details on output types. I agree that it's good to expand the example repository and also add a section in the manual about these examples, with screenshots.
How does that sound to you, @ferrigno ?
I will leave the original content for the reference.
The text was updated successfully, but these errors were encountered: