2020 at RStudio: A Year in Review

2021-01-19 Lou Bajuk
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In this blog post, I take a look back at some of the many announcements, product releases, etc. that RStudio did in 2020. It was an exciting year, despite the challenges that 2020 presented to everyone, and we were pleased to continue to support and deliver value to the R and Python data science community. Read more →

RStudio: A Single Home for R and Python Data Science

2021-01-13 Lou Bajuk
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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. Read more →

Last Call for the 2020 R Community Survey

2021-01-07 Carl Howe
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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. Read more →

Why RStudio Supports Python for Data Science

2020-10-30 Carl Howe
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When our customers ask us why RStudio's products support Python as well, we have a simple answer: It's because our data shows that our customers use R and Python for different tasks Read more →

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

2020-10-08 Andy Nicholls, Michael Rimler
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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. Read more →

RStudio v1.4 Preview: Python Support

2020-10-07 Kevin Ushey
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Last week, we introduced RStudio’s new visual markdown editor. Today, we’re excited to introduce some of the expanded support for Python in the next release of RStudio. Python Support The RStudio 1.4 release introduces a number of features that will further improve the Python editing experience in RStudio: The default Python interpreter to be used by RStudio / reticulate can now be customized in the Global Options pane, Read more →

Debunking R and Python Myths: Answering Your Questions

2020-09-10 Samantha Toet and Carl Howe
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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. Read more →

How to Deliver Maximum Value Using R & Python

2020-08-13 Dan Chen, Lander Analytics
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For data science teams to be successful, they need to embrace both R and Python. The ease of interoperability gives the user the flexibility to fill in any tool gaps for their own needs. Read more →

reticulate 1.14

2019-12-20 Kevin Ushey
We’re excited to announce that reticulate 1.14 is now available on CRAN! You can install it with: install.packages("reticulate") With this release, we are introducing a major new feature: reticulate can now automatically configure a Python environment for the user, in coordination with any loaded R packages that depend on reticulate. This means that: R package authors can declare their Python dependency requirements to reticulate in a standardized way, and reticulate will automatically prepare the Python environment for the user; and Read more →

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

2019-12-17 Lou Bajuk
We will briefly examine the debates over R vs. Python, and then share why we believe R and Python can, should and do work beautifully together. Read more →