Все публикации

Marc Nientker - Causal Forecasting: How to disentangle causal effects, while controlling for ...

Dmitriy Pastushenkov, Adrian Boguszewski - Cloud? No Thanks! I’m Gonna Run GenAI on My AI PC

Rhythm Patel - No More Raw SQL: SQLAlchemy & ORMs | PyData London 2024

Keynote: Tania Allard - The art of building and sustaining successful OSS tools and infrastructure

Andy Fundinger - Adventures in not writing tests | PyData London 2024

Jim Dowling - Function Calling for LLMs | PyData London 2024

Kehinde Richard Ogunyale - Graph Database and Retrieval Augmented Generation | PyData London 2024

Marco Gorelli - How you (yes, you!) can write a Polars Plugin | PyData London 2024

Patrick Hoefler - Dask DataFrame 2.0: Comparison to Spark, DuckDB and Polars | PyData London 2024

Ines Montani - A practical guide to human-in-the-loop distillation | Pydata London 2024

Habeeb Shopeju - Martial Arts Meets Machine Learning: Recognizing Judo Throws with MMAction2

Transform Your Business: A Roadmap to Being Data-Driven with Data Ops' - Simon Pressler

Ritchie Vink - Keynote on Polars Plugins

Marco Gorelli - Polars and time zones: everything you need to know

Max Pumperla - Building & Deploying LLM Apps

Ruben Arts - A New Way to Manage Python Environments with Pixi

Dorian Van den Heede - Your best Bet: Effortless MLOps with Python Models in dbt

Alyona Galyeva & Dr. Sebastian Werner - 5 ways to fail with time series

Eswaramoorthy & Pothina - From RAGs to riches: Build an AI document interrogation app in 30 mins

Moussa Taifi - Modern Data Pipelines Testing Techniques: A Visual Guide | PyData NYC 2023

J.J. Allaire - Keynote: Dashboards with Jupyter and Quarto | PyData NYC 2023

Kevin Klein - Causal Inference Libraries: What They Do, What I'd Like Them To Do | PD Amsterdam 2023

Katharine Jarmul - Encrypted Computation: What if decryption wasn't needed? | PyData Amsterdam 2023

Ana Chaloska - To One-Hot or Not: A guide to feature encoding and when to use what | PDAMS 2023