Data Conference Databasea Query.Farm index
Conferences / PyData

PyData Vermont 2024

Jul 29–30, 2024 · Main Street Landing Performing Arts Center, Burlington, VT, United States

Conference
PyData Data science & ML
Dates
Jul 29, 2024 – Jul 30, 2024
Venue
Main Street Landing Performing Arts Center
Place
Burlington, VT, United States
Format
In person
Status
Past
Attendance
—
Website
pydata.org
Recorded
5 sponsors · 12 speaker appearances
Notes
Site advertised "16 Talks & 2 Keynotes over Two Days"; the self-hosted pretalx (vermont2024.pydata.org/cfp) is offline and the Wayback Machine was unreachable, so speakers come only from the PyData YouTube playlist (12 recorded talks; one keynote identified). Names/titles as in video titles; the "Jayce @ BETA" video is attributed to Jayce Slesar (BETA Technologies, per his PyData Vermont 2025 pretalx bio). Affiliations otherwise unknown. Ticket prices not recoverable (ti.to widget closed). Supported by UVM's VERSO.

Ticket prices

No ticket prices recorded

Sponsors 5

Speakers and talks 12

SpeakerCompanyRoleTalkLinks
Alex Burnham—KeynoteKeynote: Lowering the barrier of entry to spatiotemporal data analysisVideo
Abhishek Murthy—SpeakerBacktesting Time Series Forecasting Algorithms in SKTime and SKForecastVideo
BJ Hargrave—SpeakerOpen Source Community Instruction-tuning of Large Language ModelsVideo
Colin Carroll—SpeakerThe state of Bayesian workflows in JAXVideo
Hyukjin Kwon—SpeakerDemystifying pandas with PySpark when scaling outVideo
Jayce SlesarBETA TechnologiesSpeakerBig Data Engineering With Python and AWSVideo
Jonathan Starr—SpeakerMapping the Open Science EcosystemVideo
Mary Haley—SpeakerStreamlining Web-based Data Management with ArcGIS API for PythonVideo
Mike Del Balso—SpeakerFull RAG: A Modern Architecture for HyperpersonalizationVideo
Mike Musty—SpeakerOptimizing sales representative assignments using integer programmingVideo
Mo McElaney—SpeakerDigital Discrimination: Cognitive Bias in Machine Learning (and LLMs!)Video
Sean P. Rogers—SpeakerIntroduction to Machine Learning for Text Analysis and Classification with PythonVideo

Sources