How to Get Started With the Neo4j Graph Data Science Python Client
Blog post from Neo4j
The Neo4j Graph Data Science Python client is a new tool designed to help users integrate Neo4j graph algorithms into their Python analytical workflows. The client's syntax mimics the GDS Cypher procedures, allowing users to project and execute graph algorithms using pure Python code. With the release of version 2.0 of Neo4j Graph Data Science, a supporting Python client has been introduced, enabling seamless integration with popular data science libraries such as Pandas. The client can be installed using pip and provides methods for executing Cypher statements, projecting in-memory graphs, running graph algorithms, and more. Users can leverage the client's benefits, including automatic conversion of algorithm outputs into Pandas DataFrames, to simplify their workflow and enhance their analytical capabilities.