The Graph Data Science team has released a new version of their toolset called GDS 2.0, which includes a Python client and several new courses in the Neo4j Data Scientist learning path. The release is accompanied by a five-minute video demonstration of the new features, as well as two new free training courses: Introduction to GDS and GDS Fundamentals. Additionally, there are articles and interviews available on various topics related to Neo4j, including a simple recommendation engine implementation using Cypher and an overview of Neo4j technologies from a developer's perspective. The release is also accompanied by a tweet from Soliman ElSaber, encouraging users to retweet the post if they like it.