@AeroPython (and just in case that did not work: @AeroPython/instructors) I invoke you all.
This repository gathers some of the analysis made for the PyData presentations. These materials are potentially useful and attractive to new aeropythoners. Conversations with @Juanlu001 suggest that in the medium they could be used for a pandas/dask tutorial. Regarding pandas, there are many tutorials and courses, but using a domain specific dataset is always a plus to gain attention from specific sectors. On the dask side, there are few tutorials, all of them really basic, and many information spread in different blogs, GitHub issues and stackoverflow questions, maybe we have a chance of contributing with a relevant tutorial.
@martosc and I would be grateful if you could have a look at the notebooks and/or source code and suggest some improvements (or even make a pull request) before we start advertising the repo.
@AeroPython (and just in case that did not work: @AeroPython/instructors) I invoke you all.
This repository gathers some of the analysis made for the PyData presentations. These materials are potentially useful and attractive to new aeropythoners. Conversations with @Juanlu001 suggest that in the medium they could be used for a pandas/dask tutorial. Regarding pandas, there are many tutorials and courses, but using a domain specific dataset is always a plus to gain attention from specific sectors. On the dask side, there are few tutorials, all of them really basic, and many information spread in different blogs, GitHub issues and stackoverflow questions, maybe we have a chance of contributing with a relevant tutorial.
@martosc and I would be grateful if you could have a look at the notebooks and/or source code and suggest some improvements (or even make a pull request) before we start advertising the repo.