searvey 0.2.1

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searvey

Searvey aims to provide the following functionality:

• Unified catalogue of observational data including near real time.

• Real time data analysis/clean up to facilitate comparison with numerical models.

• On demand data retrieval from multiple sources that currently include:

  • U.S. Center for Operational Oceanographic Products and Services (CO-OPS)
  • Flanders Marine Institute (VLIZ); Intergovernmental Oceanographic Commission (IOC)

Installation

The package can be installed with conda:

conda install -c conda-forge searvey

Development

python3 -mvenv .venv
source .venv/bin/activate
poetry install
pre-commit install

If you wish to use jupyterlab to test searvey, then, assuming you have an existing jupyterlab installation, you should be able to add a kernel to it with:

python -m ipykernel install --user --name searvey