A revised benchmark of graphs / network computation packages featuring an updated methodology and more comprehensive testing. Find out how Networkx, igraph, graph-tool, Networkit, SNAP and lightgraphs perform
In this post, I explore the problem of simplifying route intersections and document some Python code that can be used to clean and visualize Open Street Maps as a network representation
Extending Pyspark's MLlib native feature selection function by using a feature importance score generated from a machine learning model and extracting the variables that are plausibly the most important