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Add Wetterdienst to the "Data Mining" section #14
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Hey @amotl , I think submitting a pull request is the way to go. There is the awesome manifesto to spot the important stuff that has to be in the linked repository. I think Wetterdinst is really, really well maintained and developed, so that will be fine. |
Hi again, thank you already for the kind words, @mmaelicke. We are currently busy but look forward to come back here and submit a pull request for adding Wetterdienst. Keep up the spirit and with kind regards, |
This is really cool, thanks! If you are too busy, one of us could also create such a PR, but it would be much better if you as a developer could do it for more direct and faster communication. |
Hi there,
first things first: Thank you for conceiving and maintaining this excellent repository.
Thanks @mmaelicke for adding
dwdweather2
through #9 and also thanks to @schymans and @rcnijzink for adding comments on that the other day.I just wanted to give you a quick heads-up that we moved on and are developing Wetterdienst these days. We also just recognized that @raoulcollenteur already included it at [1].
So, I wanted to humbly ask about early feedback in this regard. Shall we just submit a pull request which adds Wetterdienst to the Data Mining section [2] or are there also other things to take care about?
With kind regards,
Andreas.
[1] https://github.com/raoulcollenteur/Python-Hydrology-Tools#data-collection
[2] https://github.com/Open-Environmental-Science/awesome-open-hydrology#data-mining
cc @gutzbenj
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