Notebooks and info for the MICMoR SummerSchool "Environmental Data Science: From Data Exploration to Deep Learning", IMK-IFU KIT Campus Alpin, Sept. 4 - 13 2019, Garmisch-Partenkirchen, Germany.
This course covers the PyData stack and setting up a Data Science-centric development environment, good practices in reproducible science and the handling of common data formats. It then goes into Explorative Data Analysis techniques and effective visualisation, Machine Learning methods and finally applications of Deep Learning models for various Environmental Science tasks.
| Notebook | Topic | Description |
|---|---|---|
| 01_intro_python | Python basics | A general intro to Python concepts |
| 02_intro_numpy | Numerical computation | A short introduction into key numerical python concepts |
| 03_intro_matplotlib | Plotting | The basic plotting facility in Python |
| 04_intro_pandas | Tabular data | The library to handle tabular data in python |
| 05_intro_xarray | Gridded data | A great package to handle gridded data (based on numpy and pandas, uses netCDF as backend |
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