Welcome to Zapata Data Analysis Library !
=========================================


It contains mapping, interpolation and ML useful routines and networks.

The library is best used together with the Anaconda distribution. The environment must be traced
from the individual packages, but standard packages like `numpy`, `scipy`, `matplotlib` are definitely involved.
Zapata relies also heavily on `xarray` and `netcdf` with the HDR5 version.

Zapata is also best used in conjunction with Jupyterlab Notebooks.

The most recent source code is available at <https://github.com/CMCC-Foundation/Zapata>


.. toctree::
   :glob:
   :maxdepth: 2
   :caption: Contents:
   
   interp
   klus
   zapata
   AIModels
   datainfo
   Download
   conda_reference
   Release_Notes
   

Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`