Memgraph invites you to their event

Intro to Graph Analytics in Python

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!

Hosted by

  • Team member
    Katarina Supe Developer Experience @ Memgraph

    DevRel, graph enthusiast and foodie who loves learning new technologies and enjoys using them in interesting everyday use cases.


Fastest, Most Affordable Graph Database. Light & Powerful. Tuned for Dynamic Analytics Environments.

Memgraph is a dynamic, lightweight graph database optimized for analyzing data, relationships, and dependencies quickly and efficiently. It offers a rich suite of pre-built deep path traversal algorithms and a library of traditional, dynamic, and ML algorithms tailored for advanced graph analysis.