July Meetup: Building Better Workflows with Buckaroo & PyTorch

💻Join PyData Boston for a deep dive into interactive dataframe exploration with Buckaroo, and a practical look at how to build on top of PyTorch using its extensibility hooks!

🍕🍪Free pizza will be provided courtesy of OpenTeams, and we’ll have homemade cookies!

RSVP is REQUIRED to attend
Do not arrive before 6:30pm!

📅 Schedule:
6:30–7:00 — Networking
7:00–7:15 — Introduction
7:15–8:00 — Talk 1: Looking at the Data with Buckaroo
8:00–8:15 — Break
8:15–9:00 — Talk 2: Building on PyTorch: Techniques for Extensibility and Innovation
9:00–9:30 — Networking + Wrap-up

📊 Speakers:
[Talk 1] Paddy Mullen
Looking at the Data with Buckaroo
Explore Buckaroo, an open-source dataframe UI for pandas and polars that lets you scroll, search, and summarize dataframes directly in your notebook — no boilerplate code needed. You’ll learn how to use Buckaroo in daily workflows, from essential UI features to advanced capabilities like the low-code interface, dataframe diffing, automatic cleaning, and Pandera integration. This talk is aimed at data scientists with a basic understanding of pandas and Jupyter notebooks.

[Talk 2] Andrew James
Building on PyTorch: Techniques for Extensibility and Innovation
PyTorch has become the de facto standard for development and research in deep learning. Among the many factors contributing to its popularity is the wide array of customization hooks it provides. These extension mechanisms allow developers to build new functionality on top of PyTorch while maintaining compatibility with its core backend features—a powerful capability for engineers, researchers, and curious hackers, both in-core and downstream. In this talk, we’ll explore various ways to extend PyTorch and present concrete examples of these techniques in action.

📍Venue provided by Moderna
🍕Pizza provided by OpenTeams

This, and all NumFOCUS-affiliated events and spaces, both in-person and online, are governed by a Code of Conduct:
👉 https://pydata.org/code-of-conduct/

⚡⚡**Speak at PyData!**⚡⚡
We are always looking for speakers! Sign up here and we'll be in touch:
🔗 https://forms.gle/kfFZ5hiqA9W57Ewg7

⚡⚡**Sponsor an event!**⚡⚡
PyData events are free and open to all. We’re always looking for sponsors and hosts. Get in touch to support the community:
📧 boston@pydata.org