posit::conf(2024) virtual tickets are now available!
Join us on August 12-14—from all over the world—to live stream the incredible talks and keynotes that will be taking place in Seattle.
We understand that not everyone will be able to make the trip to Seattle this year, so we’re excited to offer a fully virtual offering for everyone as an alternate option.
REGISTER: https://posit.co/conference/
And if you’re available on June 6, join the Data Science Hangout where you can ask any questions you may have about posit::conf(2024) directly to the conf committee including Hadley Wickham, Posit’s Chief Scientist. https://posit.co/data-science-hangout/
We are thrilled to introduce {keras3}, the next version of the Keras R package. {keras3} is a ground-up rebuild of {keras}, maintaining the beloved features of the original while refining the API based on valuable insights gathered over the past few years.
The April 2024 release of Posit Package Manager brings support for air-gapped PyPI repositories, more flexible curated CRAN repositories, performance improvements and more!
We are excited to announce that the 2024 Plotnine Contest! Plotnine is a visualization library that brings the Layered Grammar of Graphics to #Python. This is the first plotnine event of its kind' we're excited to see what the community shares!
Quick Summary
📈 Deadline for submissions is Friday, July 12, 2024 at midnight (anywhere on earth).
📊 To enter, share your plot with a documented reprex.
📍 Submit at forum.posit.co/w/plotnine-viz-contest-2024
The world of big data, databases, and R is rapidly evolving with an explosion of tools and packages. We're delighted to announce two workshops at posit::conf(2024) tailored for working with large datasets:
• Big Data in R with Arrow, led by Nic Crane and Steph Hazlitt
• Databases with R led by @kirill
Check out Dr. Albert Rapp's latest YouTube video on mastering the great_tables Python package! From raw data to polished displays, learn about custom fonts, nanoplots, conditional formatting, and the steps to great a lovely looking data display table with great_tables. https://www.youtube.com/watch?v=ESyWcOFuMQc&ab_channel=AlbertRapp