March Meetup: Data Viz and Knowledge Graphs (Sponsored by ODSC!)

This month we're excited to have a diverse set of topics: A new library for visualization and how to enable agents to connect with knowledge graphs!

We're sponsored this month by the Open Data Science Conference, which is hosting the upcoming AI Conference April 28th-30th (odsc.ai/east/). You can stay up to date with their events: https://luma.com/odsc

RSVP is REQUIRED to attend
Do not arrive before 6:30pm!
📅 Schedule:
6:30–7:00 — Networking
7:00–7:10 — Introduction
7:10–8:00 — Josh Pollock - GoFish: Make Expressive Data Visualizations with Ease
8:00-8:15 - Break
8:15-8:55 — Vlad Korolev - SPARQL-TOOL: Allow your Agent to query knowledge graphs
8:55–9:00 — Wrap-up

Josh Pollock - GoFish: Make Expressive Data Visualizations with Ease
GoFish is a new, open source charting library for Python and JavaScript we’ve developed at MIT. Based on a new theory of graphics, GoFish offers the expressiveness of tools like matplotlib and D3 in a simpler, more composable API.

Learn how to make effective and fun charts in GoFish from simple bar charts to polar ribbons. We will also learn how to think about charts and diagrams as structured visual representations and how this can help us design better graphics.

Vlad Korolev - SPARQL-TOOL: Allow your Agent to query knowledge graphs
SPARQL-TOOL allows your agent to connect and interrogate structured knowledge like. This includes public graphs like UniProt and DbPedia as well as your private graphs. Using this technique agents are no longer constrained by their internal knowledge cut-off, and do not need to rely on expensive and unreliable websearch tools.
Public repository is here: https://github.com/vladistan/sparql-cli.

📍Venue provided by Moderna
🍕🍪 Food will be provided courtesy of ODSC!

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/

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