Graph Gurus 42: Accelerating Data Science with Python + TigerGraph

In this webinar we demonstrate how pyTigerGraph provides a familiar Python interface to TigerGraph database, allowing the data scientist to exploit the performance and functionality of the native, parallel graph engine and bringing the results into their data models and analytical methods. We will also show how quickly they can go from data exploration to visual query building to operationalization of the insights. If you would like to visualize your graph supported findings in Jupyter, develop graph-backed Python apps, work with graphs but not ready to immediately work with GSQL, this webinar will put the right tool into your hands.