What we’re about
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
The PyData Code of Conduct governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen (+1 512-222-5449; [leah@numfocus.org](mailto:leah@numfocus.org)) or the group organizer.
💻Join PyData Boston for an AI Agent extravaganza! We'll have author Emma Saroyan showing us how to build AI agents and a walkthrough of how Model Context Protocol works!
We currently have no food sponsor for this event! Reach out if you're able to sponsor!
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: Build Your Own AI Agent
8:00–8:15 — Break
8:15–9:00 — Talk 2: What Happens Inside an MCP Server?
9:00–9:30 — Networking + Wrap-up
📊 Speakers:
[Talk 1] Emma Saroyan
Build Your Own AI Agent
In this session, I'll walk you through how to build a smart, context-aware agent in just 45 minutes. You'll see how OpenAI APIs, LangChain, and Python can work together to create an agent that goes beyond basic chat. With a demo and easy-to-follow steps, you’ll leave with the confidence to start building and customizing your own AI Assistant.
We'll cover:
Core principles of AI agents and what makes them different from simple chatbots
Step-by-step walkthrough of building an agent with LangChain and OpenAI APIs
Demo of an AI agent
Practical ways to customize agents for your own use cases
[Talk 2] Sebastian Wallkötter
What Happens Inside an MCP Server?
You have likely witnessed the hype-cycle around MCP (the Model-Context Protocol) for LLMs. It was heralded as "the universal interface between LLMs and the world" but then faded into the background as attention shifted towards AI Agents. Yet, the background of your AI app is exactly where an MCP should be, and in this talk we cover why. We will tour the MCP protocol, the Python reference implementation, and an example agent using an MCP. Expect protocol flow-charts, architecture diagrams, and a real-world demo. You will walk away knowing the core ideas of MCP, how it connects to the broader ecosystem, and how to power your AI agents.
📍Venue provided by Moderna
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
Upcoming events (3)
See all- October Meetup: Build Your Own AI Agent and Model Context ProtocolModerna HQ, Cambridge, MA
💻Join PyData Boston for an AI Agent extravaganza! We'll have author Emma Saroyan showing us how to build AI agents and a walkthrough of how Model Context Protocol works!
We currently have no food sponsor for this event! Reach out if you're able to sponsor!
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: Build Your Own AI Agent
8:00–8:15 — Break
8:15–9:00 — Talk 2: What Happens Inside an MCP Server?
9:00–9:30 — Networking + Wrap-up📊 Speakers:
[Talk 1] Emma Saroyan
Build Your Own AI Agent
In this session, I'll walk you through how to build a smart, context-aware agent in just 45 minutes. You'll see how OpenAI APIs, LangChain, and Python can work together to create an agent that goes beyond basic chat. With a demo and easy-to-follow steps, you’ll leave with the confidence to start building and customizing your own AI Assistant.
We'll cover:
Core principles of AI agents and what makes them different from simple chatbots
Step-by-step walkthrough of building an agent with LangChain and OpenAI APIs
Demo of an AI agent
Practical ways to customize agents for your own use cases[Talk 2] Sebastian Wallkötter
What Happens Inside an MCP Server?
You have likely witnessed the hype-cycle around MCP (the Model-Context Protocol) for LLMs. It was heralded as "the universal interface between LLMs and the world" but then faded into the background as attention shifted towards AI Agents. Yet, the background of your AI app is exactly where an MCP should be, and in this talk we cover why. We will tour the MCP protocol, the Python reference implementation, and an example agent using an MCP. Expect protocol flow-charts, architecture diagrams, and a real-world demo. You will walk away knowing the core ideas of MCP, how it connects to the broader ecosystem, and how to power your AI agents.📍Venue provided by Moderna
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 - DSPy Boston: Build Applications with Weaviate, AWS, and DSPyModerna HQ, Cambridge, MA
RSVPs for this event: https://luma.com/4xa3nay1?tk=CThbPO
Do not register on this meetup page!💻Join PyData Boston, Weaviate, AWS and DSPy for a whirlwind tour of building applications with DSPy!
🍕🍪Food will be provided courtesy of Weaviate!
RSVP is REQUIRED to attend
RSVP HERE: https://luma.com/4xa3nay1?tk=CThbPO
IF YOU DO NOT REGISTER ON LUMA, YOU WILL NOT BE ABLE TO ATTEND
Do not arrive before 6:30pm!📅 Schedule:
6:30 PM – Check-in and networking
7:00 PM – Welcome speech
7:05 PM – Compound Retrieval Systems with Connor Shorten
7:20 PM – Nova Customization with Vikram Shenoy
7:35 PM — Arbor with Noah Ziems
7:50 PM – DSPy 3.0 with Omar Khattab
8:20 PM – Questions and networking📍Venue provided by Moderna
🍕Food provided by WeaviateThis, 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
