memgraph / networkx-guide

We here are very big fans of NetworkX as a graph library and its comprehensive set of graph algorithms. For many though, working with NetworkX involves a steep learning curve. This guide is designed as an aid for beginners and experienced users to find specific tips and explore the world of complex networks.

📚 NetworkX guide

Welcome to the Memgraph's guide for NetworkX library website repository!

This site provides current and useful information about the NetworkX Python library for studying graphs and networks.

With this site, we hope to combine all the relevant resources like guides, tutorials, references, etc. into an open platform that is free for everyone to use and contribute to. We would also like to emphasize the importance of graph analytics in fast evolving world of data.

🔖 Guide content

• Getting started - A beginner guide for developers who are new to the world of network analysis.
• Visualizing graphs - A section dedicated to graph visualization functionalities.
• Functions - A complete list of all functions available in NetworkX.
• Algorithms - Graph algorithms explained in simple terms with accompanying usage examples.
• Biggest challenges - Learn how to overcome the biggest challenges when working with NetworkX.
• Other resources - A compilation of NetworkX related resources.

🎓 Learning resources

There are many other learning resources, such as courses, whitepapers and blog posts. With the help of these valuable resources, you can learn more about the importance of graph analytics and which tools are out there to help you.