s2spy

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A high-level python package integrating expert knowledge and artificial intelligence to boost (sub) seasonal forecasting.

About how to use the s2spy package, check the documentation.

Installation

To install s2spy from GitHub repository, do:

git clone https://github.com/AI4S2S/s2spy.git
cd s2spy
python3 -m pip install .

Configure the package for development and testing

The testing framework used here is PyTest. Before running the test, the package need to be installed and configured as via the command:

pip install -e .

or

python setup.py develop

Documentation

Include a link to your project's full documentation here.

Contributing

If you want to contribute to the development of s2spy, have a look at the contribution guidelines.

Credits

This package was created with Cookiecutter and the NLeSC/python-template.