Introduction to the Python GDS Client
Maybe you've completed the Graph Data Science in Practice workshop. Or perhaps you have equivalent experience. Regardless, now it's time to take those same skills into the environment where most real-world data science happens: Python.
The Python iGo to glossary for graph data science (opens in a new tab)Analysing data through the structure of its connections. Also the name of the Neo4j library that implements it. client isn't a different way of doing graph analytics. It's the same algorithms, the same concepts, the same workflows—just wrapped in a Pythonic interface that plays nicely with pandas, scikit-learn, and the rest of the Python ecosystem.
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