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Jeroen Janssens and Thijs Nieuwdo join me to chat about all things Polars. We discuss the evolution of the Polars library, its advantages over pandas, and their journey of writing 'Python Polars: The Definitive Guide.'

Learn how to transform your Python code into a command-line tool. Jeroen Janssens, author of Data Science at the Command Line, guides you through the process of turning your scripts into reusable, executable tools, integrating them into your data workflows and harnessing the power of the Unix command line.

External registration required at nyhackr.org.

Note the 7 PM start time.

For the meetup right before the 10th Anniversary New York R Conference we have another long-time meetup member and repeat NYR speaker Jeroen Janssens talking about Polars and plotting.

After the talk we will randomly select two attendees (both in-person and virtual) to receive free tickets to The New York R Conference taking place May 16-17.

Thank you to NYU for hosting us.

Everybody attending must RSVP through the registration form at nyhackr.org. There is a charge for in-person and virtual tickets are free. Space is extremely limited and in-person registration closes at 2 PM the day of the talk.

About the Talk: 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.

About Jeroen: 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.

The venue doors open at 6:30 PM America/New_York where we will continue enjoying pizza together (we encourage the virtual audience to have pizza as well). The talk, and livestream, begins at 7:00 PM America/New_York.

Remember, register at nyhackr.org.