Many kinds of data look like networks, such as websites and its links, connections on a social media, the products on a online markets. They can be represented in vertices and edges. Then, we are able to use graph theory to discover interesting facts hidden in.

However, it will take much time to build the algorithms in graph theory by yourself. This talk will introduce you to a Python graph library --- Graph-Tool. It provides many useful algorithms for analyzation and visualization, and it is based on Boost Graph in C++. Thus, it is a perfect library when you need both execution speed and development speed.

This talk will cover the basic concepts of using this lib, the overview of algorithms, and a real case using this library.