Past Meetup

Nicolas Mattia - Interactive data exploration using Jupyter, Haskell and Nix

This Meetup is past

39 people went

Location image of event venue

Details

Nicolas Mattia is going to demonstrate how to use Haskell, Jupyter and some open data to figure out from which countries most Haskell contributions come from. He presents a reproducible setup with Nix to use Haskell from a Jupyter notebook, will show how to easily read data from the GitHub and GeoNames APIs, how to "crunch" that with data the `vector` library and finally how to display it with the `diagrams` library -- all of this in an interactive, live-coding fashion using an in-browser notebook.

This talk is accessible to HaskellerZ of all levels. We expect beginners to learn how to query APIs using the `wreq` library and how to do some basic array manipulations with the `vector` library and intermediate Haskellers to learn how to use `lens-aeson` to consume JSON APIs in a way very similar to `jq`. The HaskellerZ unfamiliar with Jupyter and Nix will discover how those tools can be used to craft reproducible, visually interesting notebooks that can be shared and tweaked.