Welcome to the tutorials for AllegroGraph's python client. If you wish to run the notebooks in a Jupyter Lab environment we recommed you create a virtual environment using the following commands:
conda env create --file environment.yml
Then to launch the environment run:
conda activate ag-tutorial
Then to finally launch Jupyter Lab:
If you wish to run the files in Google Colaboratory please follow the instructions provided in the notebooks.
tutorial. This is the most thorough tutorial of using python with AllegroGraph and contains everything you need to know to get to know the ins and outs of AllegroGraph with Python.
agraph-python-demo. This is a much shorter demo of the most essential aspects of the python AllegroGraph client.
allegrograph-etl. This is a demo of how to read in files of any type and convert the data to triples. We also show how to link up multiple sources of data into a single connected graph.
rbac-permissions. A demo of how to create and manage user and role permissions using the python client.
attribute-based-permissions. A demo of the advanced security capabilities of triple attributes.
rdf-star-demo. A demo showcasing RDF-star and SPARQL-star using AllegroGraph Python.
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