Pycon Canada Demo Jupyter Notebook 🐍 🇨🇦

What is this?

• This jupyter notebook outlines a few Python libraries, RDFLIB, SPARQLWrapper and ontospy which can be used to navigate linked data.
• In this talk we outline a variety of uses for linked data as well as graph databases.
• We specifically go into detail about using GraphDB in our demo.

Why is this important?

• Our entire world wide web already is composed of linked data. In this talk we demonstrated how python module RDFlib is able to traverse and parse linked data.
• Linked data is queried with a query language called SPARQL which is supported by the RDFlib library. We will also show you how to level up your data insights by introducing graph databases.
• This talk allows you to draw relationships out of open linked data, as well as the unique value of communicating the relationships from linked data.

Where can I see the slides?

• A copy of the slides can be found here