Видео ютуба по тегу Pydata

Ritchie Vink - Polars 1.0 and beyond | PyData Amsterdam 2024
Ritchie Vink - Polars 1.0 and beyond | PyData Amsterdam 2024
James Powell - Are generator-coroutines really the answer? | PyData London 2024
James Powell - Are generator-coroutines really the answer? | PyData London 2024
Boosting Time Series Accuracy: The Power of Ensemble Methods - Robert Haase (Paretos)
Boosting Time Series Accuracy: The Power of Ensemble Methods - Robert Haase (Paretos)
Marco Gorelli - Understanding Polars Expressions when you're used to pandas | PyData Amsterdam 2024
Marco Gorelli - Understanding Polars Expressions when you're used to pandas | PyData Amsterdam 2024
Alexander Hendorf - ✨ FastAPI facts we wish we'd known beforehand. | PyData London 2023
Alexander Hendorf - ✨ FastAPI facts we wish we'd known beforehand. | PyData London 2023
Juan Orduz - Time Series forecasting with NumPyro | PyData Amsterdam 2024
Juan Orduz - Time Series forecasting with NumPyro | PyData Amsterdam 2024
Kishan Manani- Backtesting and error metrics for modern time series forecasting | PyData London 2024
Kishan Manani- Backtesting and error metrics for modern time series forecasting | PyData London 2024
Johan Herland - Finding undeclared & unused dependencies in your notebooks | PyData Global 2023
Johan Herland - Finding undeclared & unused dependencies in your notebooks | PyData Global 2023
Dan Gibson - An Introduction to Retrieval Augmented Generation - PyData London 2024
Dan Gibson - An Introduction to Retrieval Augmented Generation - PyData London 2024
Polars and Time Series: what it can do, and how to overcome any limitation
Polars and Time Series: what it can do, and how to overcome any limitation