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Review file structure #1
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import urllib
raw_data = urllib.urlopen(target_url).read() |
I plan on only using R code for the TrIAS modelling. I just used python to set up the file structure using cookie cutter. Indeed raw data is too big. |
As said before, it is difficult at this stage to make a in-depth review. Still, I suppose we would like to have some pipelines in order to follow the workflow. For us and for others as well. So, maybe adding If you have other solutions in mind, you are very welcome to share them! |
Forget notebooks directory if you are not using Python then. |
FYI, from a stackoverflow post:
Files starting with a point are hidden files so, they don't bother you too much. Still, if you plan to add files very soon, forget this approach and leave everything as it is now. You can remove the Python files meanwhile you add R files. |
I think this issue can be closed now. |
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