Neal Richardson

dplyr

dplyr: A grammar of data manipulation

purrr

A functional programming toolkit for R

reticulate

R Interface to Python

roxygen2

Generate R package documentation from inline R comments

chatlas

Your friendly guide to building LLM chat apps in Python with less effort and more clarity

renv

renv: Project environments for R

rlang

Low-level API for programming with R

rstudio-conf

Materials for rstudio::conf

httr2

Make HTTP requests and process their responses. A modern reimagining of httr

pins-python

rsconnect

Publish Shiny Applications, RMarkdown Documents, Jupyter Notebooks, Plumber APIs, and more

rsconnect-python

The Posit Connect command-line interface

blastula

Easily send great-looking HTML email messages from R

httpuv

HTTP and WebSocket server package for R

connectapi

An R package for interacting with the Posit Connect server API

actions

GitHub Actions for the R community

cpp11

cpp11 helps you to interact with R objects using C++ code

design

Tidyverse design principles

helm

Helm Resources for Posit Products

pak

A fresh approach to package installation

pins-r

Pin, discover, and share resources

rstudio-docker-products

Docker images for RStudio Professional Products

Shiny for Python

Easy interactive web applications with Python

AI in Production

The first Jumping Rivers AI in Production will delve into the world of AI and Machine Learning

Neal Richardson | Bigger Data With Ease Using Apache Arrow | RStudio

The Apache Arrow project enables data scientists using R, Python, and other languages to work with large datasets efficiently and with interactive speed. Arrow is so fast at some workflows that it seems to defy reality--or at least the limits of R's capabilities. This talk examines the unique characteristics of the Arrow project that enable it to redefine what is possible in R. The talk also highlights some of the latest developments in the arrow R package, including how you can query and manipulate multi-file datasets, and it presents strategies for speeding up workflows by up to 100x. About Neal: Currently Director of Engineering at Ursa Labs / RStudio. Previously led product and engineering at Crunch.io. Ph.D. in Political Science from the University of California, Berkeley

Neal Richardson

Neal Richardson | Accelerating Analytics with Apache Arrow | RStudio (2020)

The Apache Arrow project is a cross-language development platform for in-memory data designed to improve system performance, memory use, and interoperability. This talk presents recent developments in the 'arrow' package, which provides an R interface to the Arrow C++ library. We'll cover the goals of the broader Arrow project, how to get started with the 'arrow' package in R, some general concepts for working with data efficiently in Arrow, and a brief overview of upcoming features

Neal Richardson