Professional Pandas Meetup No. 12: Orchestrating Pandas Code with Prefect

Jul 7, 2023 2 min read

Professional Pandas Meetup No. 12: Orchestrating Pandas Code with Prefect image

Post-event Update: Watch the recording of the meetup here!


We’re really looking forward to our 12th Professional Pandas Meetup!

  • What: George Coyne, Director of Sales Engineering at Prefect, will present a demo of Prefect with pandas / Ponder. He will then answer questions from the audience and moderator Peter Olson, Chief of Staff at Ponder.
  • When: Thursday, July 13th, 10:00 – 10:45 AM PT.
  • Where: Online (Zoom).
  • How: Join the Zoom call directly here.

This meetup is the 12th in a series of conversations centered around how you can write professional-level pandas code. The Professional Pandas Meetup (formerly called 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 building professional pandas workflows.

For the recording of our last meetup, see here.

What is the focus of these meetups?

  • To learn how to write professional-quality pandas code, including making pandas performant with large dataframes and complex workloads.
  • To discuss and envision next-generation solutions to pandas performance challenges 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