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The container is built withAnaconda and contains all the dependencies and configuration files required to run theexamples.

If you need additional libraries you could install them from the Jupyter terminal directly, then activate the goSPL environment (conda activate gospl) and then use either theconda install command orpip install command.

Once you have installed Docker on your system, you canpull thegoSPL official image as follow::

  docker pull geodels/gospl:2024.09.01

You can then start a docker container (an instance ofan image)::

  docker run -it -p 8888:8888 -d -v localDIR:/notebooks

wherelocalDIR is the directory that contains the examples foldergoSPL-examples.

Once Docker is running, you could open the Jupyter notebooks on a web browser at the following address:http://localhost:8888 <http://localhost:8888>_. Going into the/notebooks folder you will access yourlocalDIR directory.

To run goSPL, you will need to use the terminal from the Jupyter interface. To activate the goSPL environment where all the libraries are installed you will have to run the following command:

  conda activate gospl

Depending on your operating system, you will be able to configure the docker application to set your resources: CPUs, memory, swap, or Disk image size. This will improve the performance of the run.

Note that you could use the Dashboard from Docker instead of passing through the terminal to download the goSPL Docker image.