I used to be not too long ago in a secret demo run by the Cuda and Polars crew. They handed me by a steel detector, put a bag over my head, and drove me to a shack within the woods of rural France. They took my cellphone, pockets, and passport to make sure I wouldn’t spill the beans earlier than lastly displaying off what they’ve been engaged on.
Or, that’s what it felt like. In actuality it was a zoom assembly the place they politely requested me to not say something till a specified time, however as a tech author the thriller had me feeling a little bit like James Bond.
On this article we’ll talk about the content material of that assembly: a brand new execution engine in Polars that allows GPU accelerated computation, permitting for interactive knowledge manipulation of 100GB+ of knowledge. We’ll talk about what an information body is in polars, how GPU acceleration works with polars dataframes, and the way a lot of a lift to efficiency one can anticipate with the brand new CUDA powered execution engine.
Who’s this handy for? Anybody who works with knowledge and needs to work quicker.
How superior is that this put up? This put up accommodates easy however cutting-edge knowledge engineering ideas. It’s related to readers of all ranges.