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As maintenance of this project seems to be clear now, I would like to ask, where documentation is happening (in order to facilitate contribution). So far, I only found the quickstart documentation inside the readme on the github project page, which I find to be insufficient (compared to the extensive documentation of the very similar psycopg2 postgreSQL adapter).
Furthermore, there is no information on this in the Contributing guidelines.
The text was updated successfully, but these errors were encountered:
@Dschoni For now, unfortunately, there are only quick-start documentation in the README. We understand how important it is for contributors and we agree it is a must-have for this project. We plan to create a extensive documentation using Sphinx in the near future. Thank you for your interest!
@sitingren I suggest following the community optimised numpydoc standard, documented at https://numpydoc.readthedocs.io/en/latest/format.html . This is being used all over numpy and scipy, integrates well with sphinx and popular IDEs such as pycharm and spyder (which comes with Anaconda). I'm interested in helping to produce such a documentation.
As maintenance of this project seems to be clear now, I would like to ask, where documentation is happening (in order to facilitate contribution). So far, I only found the quickstart documentation inside the readme on the github project page, which I find to be insufficient (compared to the extensive documentation of the very similar psycopg2 postgreSQL adapter).
Furthermore, there is no information on this in the Contributing guidelines.
The text was updated successfully, but these errors were encountered: