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intensively digging into python

Gyeongil Kwak aganbal

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intensively digging into python
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  • Tractebel Engineering GmbH
  • Germany
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@aganbal
aganbal / Review-Exploratory-Data-Analysis.ipynb
Created February 10, 2019 14:18
Created on Cognitive Class Labs
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@aganbal
aganbal / DA0101EN-Review-Model_Development.ipynb
Created February 9, 2019 21:01
Created on Cognitive Class Labs
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@aganbal
aganbal / DA0101EN-Review-Exploratory_Data_Analysis.ipynb
Created February 4, 2019 21:30
Created on Cognitive Class Labs
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@aganbal
aganbal / DA0101EN-Review-Exploratory_Data_Analysis.ipynb
Created February 4, 2019 21:30
Created on Cognitive Class Labs
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@aganbal
aganbal / DA0101EN-Review-Exploratory_Data_Analysis.ipynb
Created February 4, 2019 21:30
Created on Cognitive Class Labs
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aganbal / DA0101EN-Review-Data_Wrangling-py-v4pp.ipynb
Created January 24, 2019 18:31
Created on Cognitive Class Labs
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aganbal / DA0101EN-Review-Introduction-py-v4pp.ipynb
Created January 24, 2019 17:47
Created on Cognitive Class Labs
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aganbal / update_data_README.md
Created August 3, 2017 09:30 — forked from jennirinker/ update_data_README.md
Download local copy of online mat files

update-data

Routines to update local copies of M4 data from NREL

Summary

Routines to update local version of folder structure and .mat files from online directory at specified URL. Works for both 20-Hz and 10-min M4 data. Repository contains Python module with helper functions (URLDataDownload.py) and script to call from command line to perform update (update_nrel.py).