MLOps with vetiver in Python and R: Answering your questions

October 18, 2022 |

We’d like to highlight and answer some of the great audience questions asked during the "MLOps with vetiver in Python and R" webinar.


(Re)Introducing the "Solutions" website

May 27, 2021 |

RStudio's solutions website has been around for a long time and has recently undergone an extensive redesign


RStudio: A Single Home for R and Python Data Science

January 13, 2021 |

Over the past year, RStudio has invested in making our pro and open source offerings the best common home for both R- and Python-based Data Science. In this blog post, we explain why we support both Python and R, review these recent features, and encourage readers to attend our upcoming webinar.


Last Call for the 2020 R Community Survey

January 7, 2021 |

Only 2 days left before our survey closes! Please fill out our 3nd annual survey so that we can better understand today's R community. We'll publish the results in February 2021 as free and open source data.


Exploring US COVID-19 Cases and Deaths

December 23, 2020 |

Arthur Steinmetz, former Chairman, CEO, and President of OppenheimerFunds, uses R and the tidymodels package to explore the relationship between COVID-19 cases and mortality in the US.


Using R to Drive Agility in Clinical Reporting: Questions and Answers

October 8, 2020 |

Andy Nicholls and Michael Rimler from healthcare firm GlaxoSmithKline plc (GSK) answer questions posed during their recent webinar, Using R to Drive Agility in Clinical Reporting.


Debunking R and Python Myths: Answering Your Questions

September 10, 2020 |

In this post, we answer questions raised by participants and attendees during our recent Debunking R & Python Myths webinar. Our bottom line was to use the tools that let you be most productive in the shortest amount of time.


R vs. Python: What's the best language for Data Science?

December 17, 2019 |

We will briefly examine the debates over R vs. Python, and then share


The Role of R in Drug Discovery, Research, and Development

July 18, 2019 |

The analytics required to bring a novel molecule to market involves the collective effort of hundreds of quantitative scientists, with incredibly diverse training, tools and workflows.