Python

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

How we engineered a large scale label propagation algorithm at Cylynx

Benchmark of 5 popular graph/network packages - Networkx, igraph, graph-tool, Networkit and SNAP

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

Custom cross-validation class written in PySpark with support for user-defined category such as by time, geographical or consumer segments.

Simple guide to convert jupyter notebooks to markdown posts which can be published in your favourite static site generator