This section contains cross-referenced tutorial material for several packages in the Scientific Python ecosystem that are in wide use across the Geosciences.
We suggest that new users start with the Foundational Skills section in order to get the most out of these tutorials!
NumPy: Core package for array computing, the workhorse of the Scientific Python stack
Matplotlib: Basic plotting
Cartopy: Plotting on map projections
Datetime: Dealing with time and calendar data
Pandas: Working with labeled tabular data
Data formats: Working with common geoscience data formats
Xarray: Working with gridded and labeled N-dimensional data