A new "ISC Working Group 'Marshaling & Serialization in R'"
This WG aims to develop standard practices for marshalling & unmarshalling of #RStats objects. This will involve identifying current problems, raising awareness of it, & coming up with technical solutions.
posit::conf(2024) is an open-source data science conference happening in Seattle on August 12 - 14!
After the final keynote of #positconf2024, connect with R-Ladies Seattle and PyLadies Seattle at the community mixer! Open to all, even if you did not attend the conference.
Want to check duplicate values across columns of a data.frame? Well you can do that in a basic way with TidyDensity and the check_duplicate_rows() function, or you can go through todays blog post for some other ideas with #BaseR#dplyr and #datatable
tidymodels has long supported parallelizing model fits across CPU cores. A couple of the modeling engines that #rstats#tidymodels supports for gradient boosting—#XGBoost and #LightGBM—have their own tools to parallelize model fits. A new blog post explores whether tidymodels users should use tidymodels' implementation, the engines', or both.
Muito tempo sem usar #rstats ... desaprendi tudo e fiquei mal acostumando com python. Quanta burocracia para fazer coisas simples. credo... que delicia :) hahaha
Discover essential techniques to check for column existence in R data frames!
Use %in% with names() or colnames(), explore dynamic checks with exists() and within(), or identify patterns with grepl(). Experiment with these methods in your projects.
(1/2) I have been following the work of @stevensanderson and David Kum for a few years now, and I am excited to see the release of their new book 🥳- Extending Excel with Python and R 🚀.
The book focuses on the common conjunction and collaboration between data scientists and Excel users. This includes scaling and automating #Excel tasks with #RStats and #Python and core data science applications such as data wrangling, working with APIs, data visualization, and modeling.
So over the past year I have been using #vscode for my #rstats and #python work. my workplace is trying to move to a unified IDE, and vscode allows remote access and WSL integration for free. However, so far it fails to spark joy in me like #RStudio (despite lack of #vim mode) and #PyCharm do. Everything feels clunky, and subpar. The "intelligent" and linting things are also quite broken in R... Has there been extensions that fundamentally change the vscode experience that I should be trying?
Since I've recently quit my job, I've enabled github sponsors now. Without any expectations, let's see if I can make a living as an #rstats#rspatial#whateverspatial opensource developer 🤔
Thanks to inspiration by @kylebarron I am currently deep diving into #deckgl and #geoarrow to enhance the geo-spatial visualisation toolkit available in #rstats#rspatial...