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0:37:16
Ritchie Vink - Polars 1.0 and beyond | PyData Amsterdam 2024
0:42:04
James Powell - Are generator-coroutines really the answer? | PyData London 2024
1:54:11
James Powell: So you want to be a Python expert? | PyData Seattle 2017
0:35:44
Marco Gorelli - Understanding Polars Expressions when you're used to pandas | PyData Amsterdam 2024
0:33:41
James Powell - How Dimensional is a `pandas.DataFrame`, anyway? | PyData Amsterdam 2024
0:43:32
Vincent Warmerdam: Winning with Simple, even Linear, Models | PyData London 2018
0:42:45
Kishan Manani - Feature Engineering for Time Series Forecasting | PyData London 2022
0:39:08
Jonathan Bechtel - Forecasting With Classical and Machine Learning Methods | PyData NYC 2023
0:31:57
Alexander Backus: Categorizing financial transactions for personal finance.. | PyData Eindhoven 2019
0:01:39
PyData Rhein-Main: Boosting Time Series Accuracy by Robert Haase (Paretos)
0:02:08
What is PyData?
0:34:05
Alexander Hendorf - ✨ FastAPI facts we wish we'd known beforehand. | PyData London 2023
0:35:02
PyData Chicago December 2024 Meetup | Merging Monte Carlo Methods with Machine Learning
0:47:55
Dan Gibson - An Introduction to Retrieval Augmented Generation - PyData London 2024
0:01:52
PyData Amsterdam 2024 Aftermovie
0:34:54
Vincent D. Warmerdam - Scikit-Learn can do THAT?!
0:24:13
Zhao & Qiao - Graph Neural Networks for Real World Fraud Detection | PyData Amsterdam 2023
1:25:43
Fonnesbeck & Wiecki- Probabilistic Programming and Bayesian Computing with PyMC | PyData London 2024
0:35:43
Mike Kraus - Polishing Python: Preventing Performance Corrosion with Rust | PyData Amsterdam 2024
0:54:10
Juan Orduz - Time Series forecasting with NumPyro | PyData Amsterdam 2024
0:01:17
PyData Amsterdam 2023 teaser - September 14th - 16th
0:21:46
Polars is the Pandas killer / Igor Mintz (Viz.ai)
1:21:43
James Powell - Simple Simulators with pandas and Generator Coroutines | PyData NYC 2023
0:31:54
Dimitry Venger - Extreme Value Analysis | PyData Tel Aviv 2022
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