Scalable Pandas Meetup No. 4: Building Dataframes with Hamilton

Aug 18, 2022 2 min read

Scalable Pandas Meetup No. 4: Building Dataframes with Hamilton image

Post-event Update (8/25): Watch the recording of the meetup here!


We’re really looking forward to our fourth Scalable Pandas Meetup!

  • What: Stefan Krawczyk (former model lifecycle manager at Stitch Fix / engineer at Nextdoor / data scientist at LinkedIn) will give a brief presentation on Hamilton — an open-source tool + framework that helps data teams build dataframes out of unit-testable, documented, reusable functions — and then answer questions from the audience + our moderator, Peter Olson (Chief of Staff at Ponder).
  • When: Thursday, August 25th, 11:00 – 11:45 AM PT.
  • Where: Online (Zoom).

This meetup is the fourth in a series of conversations centered around how you can leverage pandas at scale. The Scalable Pandas meetup is a forum dedicated to developers, data scientists, and data engineers to share their stories, practical advice, examples, and best practices around scaling pandas workflows.

For the recording of our last meetup, see here.

What is the focus of these meetups?

  • To learn about the technical challenges and existing solutions for making pandas performant with large dataframes and complex workloads.
  • To discuss and envision next-generation solutions to those problems so that more enterprise-quality, production-level work can be done with the pandas API.

Who is the intended audience of these meetups?

We welcome all pandas users, enthusiasts, gurus, masters, who are ready to take their pandas skills to the next level with a community of like-minded peers. Our content will be geared towards intermediate and advanced pandas users, especially those who find themselves:

  • Using pandas with data larger than 500 MB
  • Crafting their own custom workflows to parallelize pandas
  • Leaving the pandas ecosystem to do things that pandas should be able to do
  • Agreeing to duel (joust, etc.) ruffians who besmirch the honor of pandas!

We’re excited to see you on Thursday!

Ready to level up your Pandas game?

Try Ponder now