Turning Polars DataFrames into Pretty Pictures & Great Tables w/ Jeroen Janssens- nyhackr May Meetup

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Talk Title- Turning Polars DataFrames into Pretty Pictures and Great Tables

Talk Description- Sure, Polars is fast, blazingly fast even. But how do you turn those dull DataFrames into something insightful? Fortunately, Python provides a plethora of packages, each with its own set of features, assumptions, and pitfalls.

In this talk, I'll walk you through a couple of packages to create pretty pictures. This includes hvPlot for quick plotting, Bokeh for interactive visualizations, and Plotnine for leveraging the grammar of graphics in Python. In addition, I'll demonstrate the Great Tables package for creating, well, great tables.

By the end you'll have a good idea of what each package has to offer, when to use which, and how to use them in combination with Polars.

Bio- Jeroen Janssens, PhD, is a data science consultant and certified instructor. His expertise lies in visualizing data, implementing machine learning models, and building solutions using Python, R, JavaScript, and Bash. He’s passionate about helping and teaching others to do such things.
Jeroen works as a Senior Machine Learning Engineer at Xomnia in Amsterdam. Prior to that, he ran, for six years, his own company Data Science Workshops, which was a training and coaching firm that organized open enrollment workshops, in-company courses, hackathons, and meetups. Clients included Amazon, eHealth Africa, Schiphol Airport, The New York Times, and T-Mobile.

Previously, he was an assistant professor at Jheronimus Academy of Data Science and a data scientist at Elsevier in Amsterdam and several startups in New York City. He is the author of Data Science at the Command Line (O’Reilly Media, 2021). Jeroen holds a PhD in machine learning from Tilburg University and an MSc in artificial intelligence from Maastricht University.

He lives with his wife and two kids in Rotterdam, the Netherlands.