Bristech Bytesize #17 - Ritchie Vink - Polars DataFrame library built on Apache Arrow Published 2021-09-16 Download video MP4 360p Recommendations 1:03:12 Bristech Bytesize #16 - Andrea Fabry - Analytics Engineering with dbt 1:09:24 Polars: A Lightning-fast DataFrame for Python - Talk Python To Me Ep.402 20:31 Polars: A highly optimized dataframe library | Matt Harrison | Conf42 Machine Learning 2023 20:18 Why Does Diffusion Work Better than Auto-Regression? 58:17 Bristech Bytesize #13 - James Hughes - Jump-start your Egoless Tech Culture 17:38 The moment we stopped understanding AI [AlexNet] 1:01:54 Bristech Bytesze #9: A robust algorithm from 13th Century Venice - Miranda Mowbray + panel 1:42:28 Do you think that ChatGPT can reason? 49:23 Про Kafka (основы) 1:18:06 Apache Kafka Crash Course 57:38 Bristech Bytesize #12 - Kieran Billingham - Multi-Cloud ML 46:23 The Near Future of AI [Entire Talk] - Andrew Ng (AI Fund) Similar videos 30:28 Polars, the Fastest Dataframe Library You Never Heard of. - Ritchie Vink | PyData Global 2021 57:30 Polars, the fastest DataFrame library you never heard of 27:45 What polars does for you — Ritchie Vink 06:12 All in on Apache Arrow 22:21 Apache Arrow on the Web and Beyond 26:59 Wes McKinney - New Directions for Apache Arrow 29:05 Ritchie Vink Polars; done the fast, now the scale PyCon 2023 29:04 PyCon LT 2023 | Ritchie Vink and Marc Garcia 34:36 Sound Data Engineering in Rust—From Bits to DataFrames 40:03 Data Science Across Data Sources with Apache Arrow 10:03 GraphQL and Apache Arrow: A Match Made in Data 09:13 how to update mass data using Polars DataFrame 05:42 Introducing lazy mode and query optimisation in Polars More results