Learn Julia by implementing Schelling's famous segregation model. You will see many similarities to Python - no types need to be specified (it's a dynamic language) and pick up some nice syntactical properties of Julia.
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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
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How we engineered a large scale label propagation algorithm at Cylynx
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The serverless way - using Google Cloud Platform to deploy simple machine learning models via Cloud Run. A fun weekend project that analyses the twitter-verse
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Tips and tricks to speed up R and plotly based web apps