Installation

How to get started ?

Clone the data challenge repo:

git clone git@github.com:ocean-data-challenges/2024c_DC_4DMedSea-ESA.git

create the data challenge conda environment, named env-dc-global-ose, by running the following command:

conda env create --file=dc_environment.yml 

and activate it with:

conda activate env-dc-4dmedsea-esa

then add it to the available kernels for jupyter to see:

ipython kernel install --name "env-dc-4dmedsea-esa" --user

finally, select the “env-dc-global-ose” kernel in your notebook with Kernel > Change Kernel.

You’re now good to go !