A short course given at EGU 2019 | 10 April 2019
- Introducing Jupyter Notebooks - Data analysis made simple
- Data access with Jupyter Notebooks from different data repositories
- Introducing Jupyter widgets - Make your data analysis and visualisation interactive
- Jupyterlab, JupyterHub, ... - Getting to know the Jupyter environment
- you hopefully have an idea about the benefits of Jupyter notebooks and understand the Jupyter environment better
- you got an overview of different data platforms to retrieve large volumes of environmental data (meteorological, climate, Earth Observation)
- You got an overview of different python libraries to efficiently access and process Big Earth Data
- You were shown some options to make your analysis / visualization interactive
- xarray
- cdsapi (requires registration)
- Earth Engine Python API (requires registration)
- Plotly (requires registration)
- widgets
- ipyleaflet