Learn Graph Analytics With Python

A new course is available for Python developers interested in graph analytics, offering hands-on learning with tools like NetworkX and Memgraph. The course covers graph algorithms and the basics of graph analytics, providing insights into various graph use cases and the types of graphs based on stored data. NetworkX, a popular Python package, is highlighted for its simplicity in creating, exploring, and visualizing graphs, while addressing challenges such as analysis speed and memory consumption. Memgraph, a Python-friendly graph database, is introduced as an alternative that offers data persistence and large-scale analytics, with a library of algorithms called MAGE. Participants will learn to transform NetworkX graphs into Memgraph graphs, benefiting from the strengths of both tools.

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