Building Data Science Infrastructure at an Enterprise Level with RStudio and ProCogia

2019-10-02 Samantha Toet
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We’re hosting a free, half-day event with one of our Full Service Certified Partners, ProCogia, in Seattle on Wednesday October 9th. This event is for data science and IT teams that want to learn more about: helpful new RStudio R packages like pins what RStudio professional products can do for your data science team if you have both Jupyter and RStudio users using Kubernetes or Slurm to scale your work If you’re interested in learning more, be sure to register on the ProCogia event page: RStudio & ProCogia Roadshow: R in Enterprise. Read more →

RStudio Connect 1.7.8 - Put a pin in it!

2019-09-23 Sean Lopp
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This release adds new workflows for data scientists and improved production settings for administrators. For data scientists, it used to be hard to use the same data or R objects in different content, and even harder to update those resources regularly. This release enables you to pin objects in Connect to solve these challenges. For administrators, we’ve reduced the most common sources of publishing failures and significantly improved error handling. Read more →

RStudio Server Pro 1.2 Update

2019-09-19 Jonathan McPherson
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Today, we’re announcing an important update to RStudio Server Pro 1.2 that introduces two new capabilities. Slurm Jobs Slurm is a open-source workload management system, capable of running distributed jobs across a cluster. It’s a popular tool for data science teams to run big, resource-intensive jobs on dedicated hardware. In this update, we’re introducing a new Slurm back end for RStudio Server Pro’s new Job Launcher (itself introduced in the initial release of RStudio Server Pro 1. Read more →

pins: Pin, Discover and Share Resources

2019-09-09 RStudio Team
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Today we are excited to announce the pins package is available on CRAN! pins allows you to pin, discover and share remote resources, locally or in remote storage. If you find yourself using download.file() or asking others to download files before running your R code, use pin() to achieve fast, simple and reliable reproducible research over remote resources. Pins You can use the pins package to: Pin remote resources locally to work offline and cache results with ease, pin() stores resources in boards which you can then retrieve with pin_get(). Read more →

Deadline extended for rstudio::conf(2020) abstract submissions

2019-09-06 Hadley Wickham
rstudio::conf, the conference on all things R and RStudio, will take place January 29 and 30, 2020 in San Francisco, California, preceded by Training Days on January 27 and 28. We’ve received requests from a number of you for permission to submit talk/e-poster abstracts after the deadline (today, September 6). In response, we’re extending the deadline by a week for everyone; the new submission deadline is September 13, a week from today, at 11:59PM PDT. Read more →

rstudio::conf(2020) Diversity and international scholarships

2019-08-30 Jen Hecht
rstudio::conf(2020L) continues our tradition of diversity scholarships, and this year we’re increasing the program size to 44 recipients. As a result of thinking about our goals, this year we have two components to the program: 38 domestic diversity scholarships available to anyone living in the US or Canada who is a member of a group that is under-represented at rstudio::conf. At present, these groups would include women/minority genders, people of color, LGBTQ, elders/older adults, and those with disabilities. Read more →

rstudio::conf(2020) call for submissions

2019-08-09 Hadley Wickham
rstudio::conf, the conference on all things R and RStudio, will take place January 29 and 30, 2020 in San Francisco, Califorrnia, preceded by Training Days on January 27 and 28. The rstudio::conf program includes invited speakers and RStudio employees, but we also want to hear from you, the R community! We are particularly interested in submissions that have one or more of these qualities: Showcase the use of R to solve real problems. Read more →

The Shiny Developer Series

2019-08-05 Curtis Kephart
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Shiny is one of the best ways to build interactive documents, dashboards, and data science applications. But advancing your skills with Shiny does not come without challenges. Shiny developers often have a stronger background in applied statistics than in areas useful for optimizing an application, like programming, web development, and user-interface design. Though there are many packages and tools that make developing advanced Shiny apps easier, new developers may not know these tools exist or how to find them. Read more →

RStudio Trainer Directory Launches

2019-07-18 Greg Wilson
Several dozen people have taken part in RStudio’s instructor training and certification program since it was announced earlier this year. Since our last update, many of them have completed certification, so we are pleased to announce a preview of our trainers’ directory. Each of the people listed there has completed an exam on modern evidence-based teaching practices, as well as technical exams on the Tidyverse or Shiny, and they would welcome inquiries from anyone who is looking for high-quality training on these topics. Read more →

rstudio::conf(2020) is open for registration!

2019-07-15 Hadley Wickham
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rstudio::conf, the conference for all things R and RStudio, will take place January 29 and 30, 2020 in San Francisco, California. It will be preceded by Training Days on January 27 and 28. Early Bird registration is now open! Conference: Wednesday-Thursday, Jan 29-30 Join me, your host and Chief Scientist of RStudio, for our keynote speakers: Hilary Parker (Stitch Fix) and Roger Peng (Johns Hopkins) Martin Wattenberg and Fernanda Viegas (Research Scientists, Google). Read more →