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PyData Global 2025

Videos

Page 1 / 5

1 — Jonathan Shi-Bridging Interactive Data Science and Big Data with Hybrid Execution-PyData Global 2025
PyData Global 2025
2 — Jeroen Janssens - Python Polars: The Definitive Crash Course - PyData Global 2025
PyData Global 2025
3 — Sourav Saha - Lessons in optimizing a large-scale pandas application using Polars, FireDucks + cuDF:
PyData Global 2025
4 — Kushal Kolar+Caitlin Lewis - fastplotlib: driving scientific discovery through data visualization
PyData Global 2025
5 — Tom Augspurger - GPU Accelerated Zarr - PyData Global 2025
PyData Global 2025
6 — Busirah Olaitan Hammed-Fast, Cost-Efficient Analytics on Blockchain data using DuckDB-PyData Global
PyData Global 2025
7 — Claudio Salvatore Arcidiacono-How to Effectively use text embeddings in tree based models - 2025
PyData Global 2025
8 — Jacob Tomlinson+Naty Clementi-GPU Python 4 the Real World: Practical Steps to GPU-Accelerated Python
PyData Global 2025
9 — Francesc Alted+Luke Shaw - Hands-on with Blosc2: Accelerating Your Python Data Workflows-PyData 2025
PyData Global 2025
10 — Sooraj Sivadasan-Designing a Fast, Offline-Capable Reverse Geocoder in Python - PyData Global 2025
PyData Global 2025
11 — Agustin Figueroa Nazar - Enhancing Marketplace Competitiveness - PyData Global 2025
PyData Global 2025
12 — Quan Nguyen - Decisions Under Uncertainty: A Hands‑On Guide to Bayesian Decision Theory - PyData
PyData Global 2025
13 — Joe Pringle - Computer Vision Data Version Control and Reproducibility at Scale - PyData Global 2025
PyData Global 2025
14 — Piotr Kalota+Matthias Boeck - Bundestag Chat: Discovering Political Landscape with RAG Systems-2025
PyData Global 2025
15 — Cainã Max Couto da Silva-Building Production-Ready Research AI Assistants with One-Command Setup
PyData Global 2025
16 — Michael Alan Washington - Build your own Personal Data Warehouse - PyData Global 2025
PyData Global 2025
17 — BOF - Networking Session
PyData Global 2025
18 — Hugo Bowne-Anderson - Building LLM-Powered Applications for Data Scientists and Software Engineers
PyData Global 2025
19 — Scott Routledge - Bodo DataFrames: a fast and scalable HPC-based drop-in replacement for Pandas-2025
PyData Global 2025
20 — Avik Basu - Beyond Just Prediction: Causal Thinking in Machine Learning - PyData Global 2025
PyData Global 2025