PyData NYC

Please follow this link for registrations.

You can expect the familiar format of “office hours” with core developers, as well as the opportunity to collaborate with others to explore ideas and approaches related to the Jupyter ecosystem.

Demos, code, UI sketches, bug fixes, paper prototypes, documentation, conversations, and ideas are all valuable and valid forms of participation. You will have the opportunity to share what you’ve been working on via “Lightning Talks” at the end of the day.

Here are some examples of the kind of work you may want to do:

• Write your first JupyterLab extension or your first Jupyter widget
• Brainstorm UI/UX design improvements for the Jupyter interface
• Push forward on a Jupyter customization for internal use
• Propose and test new JupyterLite features
• Brainstorm ways to on-ramp new users – what approaches are missing?
• Start a new language kernel or improve an existing one
• Research and document some aspect of the user experience across similar tools
• Integrate with some other tool (web browser plugin, Git commit hook, etc.)
• Fix bugs or improve documentation in one of the Jupyter-related projects

We hope you can join us! If you require dietary accommodations, please email us at bbevents@bloomberg.net.

Breakfast and lunch will be provided

Please follow this link for registration.

Join PyData NYC at 11 Times Square (Microsoft) on May 8th at 6:30 pm for a talk night with Jim Dowling (CEO of Hopsworks) and Eric Bernhardsson (CEO of Modal Labs). Please bring your 💻 to code along and sign up with your government official name!

🏢 Venue sponsored by Microsoft Reactor - thank you

Agenda:
Modular AI Systems with Feature, Training, Inference Pipelines on Hopsworks - a LLMOps Tutorial
Speaker: Jim Dowling
In this tutorial, we will introduce a unified architecture for Batch, Real-Time, and LLM AI Systems based around three independent ML pipelines -
* a feature pipeline to create feature data,
* a training pipeline to train your model,
* and an inference pipeline to make predictions with new data on your trained model.
We will use this FTI architecture to walk through a tutorial of building a LLM system that uses RAG and function calling to access structured data and a model.

Jim Dowling is CEO of Hopsworks and an Associate Professor at KTH Royal Institute of Technology. He is lead architect of the open-source Hopsworks Feature Store platform and the organizer of the annual feature store summit. He is writing a book for O'Reilly on Building AI systems with a Feature Store - batch, real-time, and LLMs.

Introduction to Modal
Speaker: Eric Bernhardsson
Modal's platform empowers data/AI/ML teams to develop faster at lower cost, while scaling production workloads to thousands of CPUs and GPUs.

Networking
Connect with fellow data enthusiasts, professionals, and community leaders. Build meaningful connections and forge collaborations.

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RSVP is required; please note that walk-ins will not be accepted.
Note: Per building policy, RSVPs will close at 12 pm on May 6th.
Doors @ 6 pm
Event @ 6:30 - 8:30 pm
Venue provided by MSFT: 11 Times Square
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The building requires a government-issued photo ID for entrance.
This, and all PyData NYC events, is an all-level event. Newcomers and beginners are welcome.
This, and all NumFOCUS-affiliated events and spaces, both in-person and online, are governed by a Code of Conduct.
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This event may be recorded.