This pages contains the references that I gathered while preparing my lecture for the 2016 CRM Summer School, which took place in Québec, Canada.
Material of the talk
networkx: Simple graph module in pure python. It comes with multiple functions and methods out-of-the-box.
graph_tool: Graph module for python, in cython. Favors the statistical approach, but the module includes some spectral methods. It’s fast.
scikit-learn: Machine learning in python. Include spectral methods, k-means, and more.
seaborn: visualization. Straigtforward visualization module, perfect for spectral density plots.