pydata

Ritchie Vink - Polars 1.0 and beyond | PyData Amsterdam 2024

James Powell - Are generator-coroutines really the answer? | PyData London 2024

James Powell: So you want to be a Python expert? | PyData Seattle 2017

Marco Gorelli - Understanding Polars Expressions when you're used to pandas | PyData Amsterdam 2024

James Powell - How Dimensional is a `pandas.DataFrame`, anyway? | PyData Amsterdam 2024

Vincent Warmerdam: Winning with Simple, even Linear, Models | PyData London 2018

Kishan Manani - Feature Engineering for Time Series Forecasting | PyData London 2022

Jonathan Bechtel - Forecasting With Classical and Machine Learning Methods | PyData NYC 2023

Alexander Backus: Categorizing financial transactions for personal finance.. | PyData Eindhoven 2019

PyData Rhein-Main: Boosting Time Series Accuracy by Robert Haase (Paretos)

What is PyData?

Alexander Hendorf - ✨ FastAPI facts we wish we'd known beforehand. | PyData London 2023

PyData Chicago December 2024 Meetup | Merging Monte Carlo Methods with Machine Learning

Dan Gibson - An Introduction to Retrieval Augmented Generation - PyData London 2024

PyData Amsterdam 2024 Aftermovie

Vincent D. Warmerdam - Scikit-Learn can do THAT?!

Zhao & Qiao - Graph Neural Networks for Real World Fraud Detection | PyData Amsterdam 2023

Fonnesbeck & Wiecki- Probabilistic Programming and Bayesian Computing with PyMC | PyData London 2024

Mike Kraus - Polishing Python: Preventing Performance Corrosion with Rust | PyData Amsterdam 2024

Juan Orduz - Time Series forecasting with NumPyro | PyData Amsterdam 2024

PyData Amsterdam 2023 teaser - September 14th - 16th

Polars is the Pandas killer / Igor Mintz (Viz.ai)

James Powell - Simple Simulators with pandas and Generator Coroutines | PyData NYC 2023

Dimitry Venger - Extreme Value Analysis | PyData Tel Aviv 2022