Katarina Supe introduces a new course aimed at Python developers interested in graph analytics, offering insights into graph algorithms and tools like NetworkX and Memgraph. The course is designed to help both beginners and experienced developers understand the complexities of network analysis and graph databases, demonstrating how to create, manipulate, and visualize graphs using NetworkX. Additionally, it highlights the benefits of graph databases like Memgraph, which provides data persistence and scalability, and explains how to transition from NetworkX to Memgraph using the MAGE library. By focusing on practical code examples, the course seeks to equip participants with the ability to effectively analyze and leverage data using graph technologies.