PyData Global 2025

Videos

1 — Leonardo Ferreira - Create your Health Research Agent - PyData Boston 2025
2 — Lily Xu-Traditional AI + LLMs to Automate Complex and Critical Docs in Healthcare-PyData Boston 2025
3 — Zvi Topol-Uncertainty-Guided AI Red Teaming- -PyDatsa Boston 2025
4 — Keynote Lisa Amini-What’s Next in AI for Data and Data Management--Pydata Global 2025
5 — Lily Xu-Using Traditional AI & LLMs to Automate Complex + Critical Documents in Healthcare-PyData
6 — Keynote Speaker-IIsabel Zimmerman-PyData Global 2025
7 — Malte Tichy - Reviving Survival Analysis_ Timeless, Yet Overlooked - PyData Global 2025
8 — Timothy Spann - Enhancing Apache NiFi 2.x with Python Processors
9 — Deepyaman Datta-✕-Data engineering with Python the right way- -PyData Boston 2025
10 — Eyal Kazin - Lessons in Decision Making from the Monty Hall Problem-PyData Global 2025
11 — Dawn Wages - The Lifecycle of a Jupyter Environment - PyData Global 2025
12 — Aarti Jha-When AI Makes Things Up_ Understanding and Tackling Hallucinations-PyData Global 2025
13 — Sebastian Wallkötter-The Boringly Simple Loop Powering GenAI Apps-PyData Global 2025
14 — Allen Downey-The SAT math gap- gender difference or selection bias--PyData Global 2025
15 — Dr. Rebecca Bilbro-Where Have All the Metrics Gone--PyData Global 2025
16 — Itai Gilo-Garbage In, Lawsuit Out_ Building Compliant and Reproducible ML Pipelines
17 — Sergei Nasibian-Detecting Regime Shifts in Time Series with Python_ Entropy- PyData Global 2025
18 — Kamil Raczycki-Getting big OpenStreetMap data with QuackOSM
19 — Chris Rackauckas-Why Julia_s GPU-Accelerated ODE Solvers are 20x-100x Faster than Jax and PyTorch
20 — Robin Troesch-Building a Lightweight Feature Store for Electricity Grid Forecasts w Polars-PyData
21 — Clinton Oyogo-Engineering Large-scale geospatial raster processing with xarray + dask-PyData Global
22 — Piotr Stepinski-From Handwritten Notes to Smart Knowledge_ Build Local AI Agents with Python
23 — Claudio Giorgio Giancaterino-Harnessing Generative Models for Synthetic Non-Life Insurance Data
24 — Jayita Bhattacharyya-How Big are SLMs - PyData Global 2025
25 — Mark Kittisopikul, Ph.D.-Combining Zarr, HDF5, and TIFF into a single data format-PyData Global 2025
26 — Idan Richman Goshen - When the Meter Maxes Out- Lessons for ML Systems in Production - PyData Global
27 — Cédric Couralet + Meilame Tayebjee - torchTextClassifiers Modernizing Text classification -PyData
28 — Hajime Takeda - TinyTroupe Enhancing Marketing Insights through LLM- PyData Global 2025
29 — José Quenum + Marthin Thomas - HPC Implementation of a Hybrid Recommender System in Julia-PyData
30 — Anita Ihuman-How Do We Create Access for Those Who Don’t Show Up in Our Spaces
31 — Adam Cowley - Using MCP to turn Claude into a Football Opposition Analyst - Pydata Global 2025
32 — Dylan Bouchard + Mohit Singh Chauhan-UQLM Detecting LLM Hallucinations in Python-PyData Global 2025
33 — Indranil Ghosh - Time series analysis for coupled neurons. - PyData Global 2025
34 — Shekhar Prasad Rajak + bhrathjatoth - Streaming AI Workflows in Python - PyData Global 2025
35 — Aniket Abhay Kulkarni - Scaling Fuzzy Product Matching with BM25 - PyData Global 2025
36 — Allison Ding - Scaling Data Processing for LLMs with NeMo Curator - PyData Global 2025
37 — Andrew Yule - Revolutionizing Safety Log Analysis in Oil and Gas - PyData Global 2025
38 — Jonas Van Malder-RDepot - 100% open source enterprise management of Python -PyData Global 2025
39 — César Soto Valero - Realtime Financial Fraud Detection with Modern Python-PyData Global 2025
40 — Danica Fine-Quiet on Set_ Building an On-Air Sign with Open Source Technologies
41 — Evan Wimpey - Python Worst Practices- Learn from the Expert-PyData Global 2025
42 — Mateusz Sokół+Willow Marie Ahrens-PyData_Sparse & Finch - PyData Global 2025
43 — Charaf ZGUIOUAR-Optimal Variable Binning in Logistic Regression - PyData Global 2025
44 — Saurabh Garg-Optimizing AI_ML Workloads_Resource Management and Cost Attribution- PyData Global 2025
45 — Iyanu Falaye - Python Beyond the Code- Unlocking Hidden Contributions in Open Source-PyData Global
46 — Martin Durant-projspec_ what_s this project anyway - PyData Global 2025
47 — DR NISHA ARORA-Python Meets Excel_ Smarter Workflows for Analysts and Data Teams.-PyData Global 2025
48 — Natan Katz-Open Source Models_ Security- Adversarial attacks, Poisoning & Sponge -PyData Global 2025
49 — Jacob Quinn-Modernizing JSON for Julia - PyData Global 2025
50 — Daniel Chen - LLMs, Chatbots, and Dashboards_ Visualize Your Data with Natural Language - PyData
51 — Jen Wei-I Built a Transformer from Scratch So You Don’t Have To - PyData Global 2025
52 — Keynote_David Aronchick- From Pandas to Policy-as Code The Future of ML Data Engineering-Global 2025
53 — Keynote- Noor Aftab- The Next Commit_ Building Inclusive, Data-Driven Ecosystems for Responsible AI.
54 — Jim Dowling-From Feature Engineering to Context Engineering for Agents-PyData Global 2025
55 — Breno Brito - Future proof your AI product
56 — Irina Loghin-Connected Identities_ Rethinking Identity and Access Management with Neo4j and Python
57 — Richard Iannone-Communicating Data Quality_ Making the Invisible Visible (and Fun!) with Pointblank
58 — Tobia De Koninck-Accelerate deployment of Python data science apps using ShinyProxy-PyData Global
59 — Allen Downey - Bayesian Decision Analysis with PyMC: Beyond A/B Testing - PyData Global 2025
60 — Manjunath Janardhan - Automating ML with PyCaret: Train & Compare Models to Find the Best Performer
61 — BOF - Networking Session
62 — Joe Pringle - Computer Vision Data Version Control and Reproducibility at Scale - PyData Global 2025
63 — Francesc Alted+Luke Shaw - Hands-on with Blosc2: Accelerating Your Python Data Workflows-PyData 2025
64 — Boris Lau-Let Me Structure Freely_ How to Improve LLM Structured Output Quality - PyData Global 2025
65 — César Soto Valero-From Ideas to APIs_ Delivering Fast with Modern Python
66 — Jacob Tomlinson - EffVer_ Versioning code by the effort required to upgrade-PyData Global 2025
67 — Matthew Cox-Animating Equity: Python Dashboards 4 Small-Town Housing + Displacement Rise-Global 2025
68 — Avik Basu - Beyond Just Prediction: Causal Thinking in Machine Learning - PyData Global 2025
69 — Scott Routledge - Bodo DataFrames: a fast and scalable HPC-based drop-in replacement for Pandas-2025
70 — Hugo Bowne-Anderson - Building LLM-Powered Applications for Data Scientists and Software Engineers
71 — Michael Alan Washington - Build your own Personal Data Warehouse - PyData Global 2025
72 — Cainã Max Couto da Silva-Building Production-Ready Research AI Assistants with One-Command Setup
73 — Piotr Kalota+Matthias Boeck - Bundestag Chat: Discovering Political Landscape with RAG Systems-2025
74 — Quan Nguyen - Decisions Under Uncertainty: A Hands‑On Guide to Bayesian Decision Theory - PyData
75 — Agustin Figueroa Nazar - Enhancing Marketplace Competitiveness - PyData Global 2025
76 — Sooraj Sivadasan-Designing a Fast, Offline-Capable Reverse Geocoder in Python - PyData Global 2025
77 — Jacob Tomlinson+Naty Clementi-GPU Python 4 the Real World: Practical Steps to GPU-Accelerated Python
78 — Claudio Salvatore Arcidiacono-How to Effectively use text embeddings in tree based models - 2025
79 — Busirah Olaitan Hammed-Fast, Cost-Efficient Analytics on Blockchain data using DuckDB-PyData Global
80 — Tom Augspurger - GPU Accelerated Zarr - PyData Global 2025
81 — Kushal Kolar+Caitlin Lewis - fastplotlib: driving scientific discovery through data visualization
82 — Sourav Saha - Lessons in optimizing a large-scale pandas application using Polars, FireDucks + cuDF:
83 — Jeroen Janssens - Python Polars: The Definitive Crash Course - PyData Global 2025
84 — Jonathan Shi-Bridging Interactive Data Science and Big Data with Hybrid Execution-PyData Global 2025