Wetterdienst: A new toolset for accessing weather data from German Weather Service (DWD) based on pandas

[Andreas.Motl]

Best-in-class DWD CDC data access library for Python

We just discovered a new gem in the world of data acquisition from DWD CDC using Python.

GitHub - earthobservations/wetterdienst: Open weather data for humans.

[Andreas.Motl]

While taking over development and maintenance of dwdweather2 from Marian Steinbach’s dwd-weather for a while,

»dwdweather2« - a Python client to access weather data from Deutscher Wetterdienst (DWD)

About Python client to access weather data from Deutscher Wetterdienst (DWD), the federal meteorological service in Germany. Installation pip install dwdweather2 Usage See GitHub - panodata/dwdweather2: Python client to access weather data from Deutscher Wetterdienst (DWD), the federal meteorological service in Germany..

we have been looking forward to bring Pandas to the code base for a long time already. In the meanwhile, Jeremiah Lewis started working on that within GitHub - jeremiahpslewis/dwdbulk: dwdbulk: Easy Access to Open German Weather Data.

Now, we started to get in touch with Benjamin Gutzmann in order to complement the Wetterdienst code base with some features from dwdweather2 and we are looking forward to talk about the future of Wetterdienst with both Benjamin and Jeremiah.

@Andreas Motl

First things first: We would like to salute you for conceiving the best-in-class DWD CDC data access library for Python. You are doing an excellent job here. […]

Now, after discovering your library, this leaves absolutely nothing to wish for. So, we would like to abandon the dwdweather2 library in the long run and look forward to base our work upon the comprehensive work you are doing here.

– Hello from Wetterdienst · Issue #50 · earthobservations/wetterdienst · GitHub