DATA PIPELINES WITH LUIGI, PART 2

In our previous post, we showed how Luigi helps you to build a simple task dependency graph by providing two simple abstractions: a Task class and an output class. We gave the example of having a regularly updated count of all the companies in the UK. Having a count of all the companies in the […]Read More

DATA PIPELINES WITH LUIGI, PART 1

This introduction to Luigi was originally presented as a talk at PyData London 2015. Feel free to check out the slides! At Growth Intelligence, we use predictive modeling to help generate high quality leads for our customers. We’re essentially helping them answer this question: where should I focus my outbound sales and marketing efforts to […]Read More