Beyond Pandas: lightning fast in-memory dataframes with Polars - Alberto Danese Published 2023-07-31 Download video MP4 360p Recommendations 29:26 Managing the code quality of your project. Leave the past behind: Focus on new code. 06:14 Programming Languages I used at Google (C++ rant) 57:18 EuroSciPy 2023 - Keynote: Polars 24:36 The hitchhiker's guide to asyncio - Fabbiani 31:03 Delta-rs, Apache Arrow, Polars, WASM: Is Rust the Future of Analytics? 2:14:28 Tutorials - Matt Harrison: Getting Started with Polars 30:36 What does Starlette really do for FastAPI? - Marcelo Trylesinski 29:49 Thomas Bierhance: Polars - make the switch to lightning-fast dataframes 57:57 Speeding Up Your DataFrames With Polars | Real Python Podcast #140 53:03 Why I Switched From Pandas to Polars | TDE Workshop 27:45 What polars does for you — Ritchie Vink 20:31 Polars: A highly optimized dataframe library | Matt Harrison | Conf42 Machine Learning 2023 14:12 Polars: The Next Big Python Data Science Library... written in RUST? 1:00:56 Lightning Talks - PyCon Italia 2023 18:39 Polars: The Super Fast Dataframe Library for Python ... bye bye Pandas? 11:50 Polars Introduction for Python with a 128GB Ryzen 24-core Benchmark vs Pandas 58:20 Think Fast, Talk Smart: Communication Techniques Similar videos 29:47 Nico Kreiling: Raised by Pandas, striving for more: An opinionated introduction to Polars 27:52 Polars Tutorial: Aggregate and Analytic Functions (Group By, Dynamic Group By, Rolling Averages) 28:17 Polars vs Pandas - what's the difference? — Cheuk Ting Ho 29:32 Is the great dataframe showdown finally over? Enter: polars - Luca Baggi 29:05 Ritchie Vink Polars; done the fast, now the scale PyCon 2023 34:02 ML Interpretability: the Key to ML Adoption in Enterprise | by Alberto Danese | Kaggle Days Paris 1:58:05 Tutorials - Lisa Carpenter: How to create beautiful interactive GUIs and web apps 51:59 DATA SCIENCE: Lavorare efficacemente in TEAM | Con Alberto Danese More results