Conferences / PyData
PyData NYC 2024
Nov 6–8, 2024 · Microsoft Conference Center, Times Square (11 Times Sq), New York, NY, United States
- Conference
- PyData Data science & ML
- Dates
- Nov 6, 2024 – Nov 8, 2024
- Venue
- Microsoft Conference Center, Times Square (11 Times Sq)
- Place
- New York, NY, United States
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- pydata.org
- Recorded
- 22 sponsors · 59 speaker appearances
- Notes
- Tutorials Nov 6, talks Nov 7-8. Tito page notes final prices include a 3.9% processing fee. Sponsor tier prices: Diamond $15,000, Platinum $10,000, Gold $6,000, Silver $4,000. Speakers: the pretalx site (nyc2024.pydata.org/cfp) is offline and only 14 talk pages are archived; the rest of the list is reconstructed from the official PyData NYC 2024 YouTube playlist titles (speaker names as given there, affiliation null). Recorded talks whose titles give only surnames (e.g. 'Matson & Prawiroatmodjo', 'Gao & Slater', 'Borar et al.') are omitted, as are unrecorded talks, so the speaker list is incomplete. Keynote affiliations from pydata.org/nyc2024.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Tutorial Pass (Student) | $100 | — | ti.to | |
| Tutorial Pass (Individual) | $150 | — | ti.to | |
| Tutorial Pass (Corporate) | $200 | — | ti.to | |
| Tutorial Pass (Startup) | $200 | — | ti.to | |
| Talk Pass (Student) | $200 | — | ti.to | |
| Talk Pass (Individual) | $250 | — | ti.to | |
| Talk Pass (Startup) | $300 | — | ti.to | |
| 3-Day Pass (Student) | $300 | — | ti.to | |
| 3-Day Pass (Individual) | $400 | — | ti.to | |
| Talk Pass (Corporate) | $400 | — | ti.to | |
| 3-Day Pass (Startup) | $500 | — | ti.to | |
| 3-Day Pass (Corporate) | $600 | — | ti.to |
Sponsors 22
Startup 1
- Bytemax · Startup Partner
Speakers and talks 59
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Amanda Silver | Microsoft | Keynote | Building and scaling AI applications for Data Scientists and Developers | Video |
| Benjamin Zaitlen | NVIDIA | Keynote | Density! The not-so-secret trend driving the future of Data Analytics | Video |
| Lawrence Gray | KUNGFU.AI | Keynote | Open Source, Open Roads: Mapping the Human Element in Tech | Video |
| Sabrina Hsueh | Pfizer | Keynote | Trustworthy AI in Healthcare and Life Sciences | Video |
| Aarti Jha | — | Speaker | The Art of Compression: Crafting Insightful Summaries with LLMs | Video |
| Adam Glustein | — | Speaker | Straightforward stream processing with CSP | Video |
| Aditya Kelvianto Sidharta | Capital One | Speaker | Holistic root cause analysis of software breakages through structural causal modeling | Video |
| Alexandre Andorra | PyMC Labs | Tutorial | Mastering Gaussian Processes with PyMC | Video |
| Alexy Khrabrov | — | Speaker | Making OSS AI Real with Knowledge Graphs | Video |
| Allison Wang | — | Speaker | Faster PySpark with Apache Arrow | Video |
| Andy Terrel | — | Speaker | Accelerating GPU Algorithms in pure Python | Video |
| Anjali Datta | — | Tutorial | Building machine learning pipelines that scale: a case study using Ibis, IbisML, and dlt | Video |
| Art Anderson | — | Speaker | Unlocking the Power of Hybrid Search: A Deep Dive into Python-Powered Precision and Scalability | Video |
| Art Anderson | — | Speaker | Vector Databases Demystified: Discover how they work | Video |
| Avi Levin | — | Speaker | Explaining Machine Learning Models with LLMs | Video |
| Avik Basu | — | Speaker | Reproducible work environments for data scientists using Nix | Video |
| Bryce Lelbach | NVIDIA | Speaker | Accelerating GPU Algorithms in pure Python | Video |
| Christian Luhmann | PyMC Labs | Speaker | PyMC-Marketing: Customer and Marketing Analytics the Easy Way | Video |
| Christopher J Fonnesbeck | — | Tutorial | Mastering Gaussian Processes with PyMC | Video |
| Deepyaman Datta | — | Tutorial | Building machine learning pipelines that scale: a case study using Ibis, IbisML, and dlt | Video |
| Dharhas Pothina | Quansight | Speaker | How many dataframe libraries do you need to change a lightbulb? | Video |
| Dhavide Aruliah | — | Tutorial | Using NASA EarthData Cloud & Python to Model Climate Risks | Video |
| Ethan Cole | Capital One | Speaker | Holistic root cause analysis of software breakages through structural causal modeling | Video |
| Gil Forsyth | — | Speaker | Ibis: Don't Let the Engine Dictate the Interface | Video |
| Hugo Bowne-Anderson | — | Tutorial | Building Your First Multimodal Gen AI App 🚀 | Video |
| Isabel Zimmerman | — | Speaker | End-to-end data science with the Positron IDE | Video |
| Jacob Tomlinson | NVIDIA | Tutorial | GPU Accelerated Python | Video |
| James Munro | — | Speaker | ArcticDB, the OLAP antidote | Video |
| James Powell | — | Speaker | Can You Tell the Truth by Lying? | Video |
| Javier de la Rúa Martínez | — | Speaker | Python and the AI Lakehouse | Video |
| Jim Dowling | Hopsworks | Speaker | Building Python based AI Systems with LLMs | Video |
| Jim Kitchen | Anaconda | Tutorial | Advanced Excel Analytics: Python Integration Workshop | Video |
| Jinxuan Wu | — | Speaker | Mastering DataFrame Diffing Techniques | Video |
| Jonathan Starr | — | Speaker | The Graph Database of Everything Open: Navigating the Open Science Ecosystem w/ MOSS | Video |
| Josh Reini | — | Speaker | Eliminate Hallucinations with Context Filter Guardrails | Video |
| Katrina Riehl | NVIDIA | Tutorial | GPU Accelerated Python | Video |
| Kaushik Srinivasan | Bloomberg | Speaker | Daunting to Doable: How Institutions can encourage Open Source Contributions | Video |
| Matt Harrison | — | Speaker | An Introduction to Polars | Video |
| Mike McCarty | NVIDIA | Tutorial | GPU Accelerated Python | Video |
| Nathaniel Haines | — | Speaker | Easy Model Blending using Pseudo-Bayesian Model Averaging in Python | Video |
| Nick Tchayka | — | Speaker | Building Production-Ready AI Systems in 90 Minutes | Video |
| Niranjan Ganesan | — | Speaker | Analyzing the Impact of Music, Posters, & Trailer Tonality Using Machine Learning | Video |
| Pietro Peterlongo | — | Speaker | Domain-driven Data Science | Video |
| Rami Krispin | — | Speaker | Deploy & Monitor ML Pipelines with Python, Docker and GitHub Actions | Video |
| Rebecca Bilbro | — | Speaker | Data Secrets from a Platform Engineer | Video |
| Rhythm Patel | — | Speaker | No More Raw SQL with SQLAlchemy and ORMs | Video |
| Rick Ratzel | — | Speaker | Run Large-Scale Graph Analytics Using The Most Popular Graph Analytics Library Available | Video |
| Ritchie Vink | — | Speaker | Polars GPU acceleration | Video |
| Rohit Tripathy | — | Speaker | Graph neural networks for biomedical insights | Video |
| Roni Kobrosly | Capital One | Speaker | Holistic root cause analysis of software breakages through structural causal modeling | Video |
| Saba Nejad | — | Speaker | How to Deploy Machine Learning Inference Code to Production | Video |
| Santosh Borse | — | Speaker | Preparing Data for LLM pretraining using open source Data Prep Kit | Video |
| Santosh Borse | — | Speaker | Preparing data for LLM training with Data Prep Kit | Video |
| Thomas J. Fan | — | Speaker | Pushing Cython to its Limits in Scikit-learn | Video |
| Tim Faulkes | — | Speaker | Vector Databases Demystified: Discover how they work | Video |
| Tim Swena | — | Speaker | Get insights from structured and unstructured data using the BigQuery DataFrames package | Video |
| Timothy Hewitt | Anaconda | Tutorial | Advanced Excel Analytics: Python Integration Workshop | Video |
| Timothy Spann | — | Speaker | Unstructured Data Processing with a Raspberry Pi AI Kit and Python | Video |
| Zander Matheson | — | Speaker | Do Pythons Rust? How we used PyO3 to build a Python Stream Processor w/ a Rust Heart | Video |