The pragmatic Pythonic data engineer [PyCon DE \u0026 PyData Berlin 2024]

(38:9)

Mojo 🔥 - Is it Python's faster cousin or just hype? [PyCon DE \u0026 PyData Berlin 2024]

(26:47)

PyConDE \u0026 PyData Berlin 2024 Kuppelsaal Day 1

(1:45:58)

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

(1:54:11)

Unit Testing for Data Scientists - Hanna Torrence

(39:11)

Polars and Time Series: what it can do, and how to overcome any limitation

(28:52)

Lose your fear of equations! [PyCon DE \u0026 PyData Berlin 2024]

(1:34:34)

A deep dive into the Arrow Columnar format with pyarrow and nanoarrow

(1:30:53)

Pandas + Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars [PyCon DE \u0026 PyData Berlin 2024]

(29:9)

James Powell: Advanced Metaphors in Coding with Python | PyData Berlin 2017

(1:24:37)

Yanis Varoufakis on Cloud Capital vs AI: DeepSeek, Technofeudalism, Capitalism and the New Cold War

(9:13)

That’s it?! Dealing with unexpected data problems [PyCon DE \u0026 PyData Berlin 2024]

(27:54)

PyCon DE \u0026 PyData Berlin 2023 - Opening Session

(41:47)

Your Model _Probably_ Memorized the Training Data [PyCon DE \u0026 PyData Berlin 2024]

(45:15)

PyData Berlin September 2020

(1:25:27)

Pydata Berlin April 2021: How to detect silent failures in ML models

(35:23)

Pydata Berlin Meetup March 2021: How Planet operates 100+ satellites using agile aerospace

(40:28)

Tackling the Cold Start Challenge in Demand Forecasting [PyCon DE \u0026 PyData Berlin 2024]

(30:26)