About this event
Graphs are a way to represent a network or a collection of interconnected objects formally. There are many powerful tools out there to explore that kind of network by applying graph algorithms. But sometimes it’s hard to keep track of them!
We have created a brand new course to get you familiar with the graph world. The course is designed for Python developers who want to explore tools for network analysis and see how it’s done hands-on. You will learn what graph algorithms are and hear more about the most popular ones.
If you are not an experienced Python developer, don’t worry - this course will teach you the basics of graph analytics, and you’ll be able to apply that knowledge whenever you become more familiar with Python.
The tools which we explored in detail are NetworkX, a Python package for the creation, manipulation and study of the structure dynamics and functions of complex networks. Another tool is called Memgraph, a graph database, through which we’ll explain the benefits of using graph storage. If all of the above sounds intriguing and you don’t want any spoilers, skip this blog and sign up for the free course!
Memgraph is an open source graph database built for teams who expect highly performant, advanced analytical insights - as compatible with your current infrastructure as Neo4j (but up to 120x faster). Memgraph is powered by an in-memory graph database built to handle real-time use-cases at enterprise