Posit PBC

We’re pleased to announce that Posit Package Manager 2024.08.0 is now available for download! 📦 This release provides a host of improvements for administrators: • Posit Package Manager now provides full remote administration via the Admin CLI. Remote access can be secured using API tokens with specific delegated permissions. • We’ve redesigned our server logging to make it easier to configure the location of the log files and set the desired level of log detail. We now support plain text, structured text, or JSON format. • This release brings performance improvements to Bioconductor package sources. • Package Manager now allows you to pin your Bioconductor package installations to a specific date to ensure you receive the exact same packages in the future. Learn more in our latest blog post: https://lnkd.in/g4vZFcbS

Deploy from a public repo to a live application in under a minute! The Alpha release of Connect Cloud takes code from your public GitHub repository and returns a shareable URL for your data applications and documents. ✔️ Deploy Shiny, Streamlit, Dash, or Bokeh Applications. ✔️ Publish Jupyter, Quarto, and R Markdown documents. Python or R. One platform. All your work. ✨ Create a free account today → https://lnkd.in/gi6Ws2jh

Meet the Winners of the 2024 Plotnine Plotting Contest. https://lnkd.in/gxpw6KJh "On a personal note, developing open-source software can be a lonely task. I am physically quite distant from plotnine’s end-users, focused on answering issues online, delivering new features, and generally deep in code. As the community has grown, I’ve been amazed at the creativity, inventiveness and technical prowess with which plotnine is used." ~Hassan Kibirige, maintainer of plotnine. And just you're not familiar, plotnine is a Python library that implements the grammar of graphics,  based on ggplot2. https://plotnine.org/

🚨 It's happening tomorrow! 🚨 Roche will share their end-to-end R journey to a new drug application submission tomorrow at 9 a.m. PT / 12 p.m. ET on our YouTube channel! 📆 Get the calendar link here: https://lnkd.in/g8w7XaJ2 Watch it live and ask questions after the presentation with a Q&A directly with their team! Watch Hinal Patel, Ning Leng, and Jingyuan Chen talk about: ・Communicating and collaborating with the FDA, EMA, and NMPA. ・Using R-generated data in the submission framework. ・Use of R packages in a successful submission. ・Challenges and approaches to clinical trial data using R. ...and more! ☺️

Check out the video, "Make beautiful, publication quality tables in Python". Richard Iannone & Michael Chow walk through creating beautiful, publication ready tables with great_tables. Watch now at https://lnkd.in/g4e8ABwM Tables are undeniably useful for data work. We have many great DataFrame libraries available in Python, and they give us flexibility in terms of manipulating data at will, but what happens when presenting tables to others? It's nice to display tables. Tables can efficiently carry information, just like plots do, and at times it is the better way of presenting data. Indeed, it is time to bridge the divide between raw DataFrame output and wondrously structured tables suitable for publication. Now, let us turn our attention to the state of 'display tables' in 2024. Let us go over what comprises key components for building effective information displays in tables. It may surprise one how new a well-crafted table can be hewn. We'll take a look at the combinations of Python packages that fit together to make this important task possible, and marvel together at the tabular results they can provide!

🚨 Roche's live event with Posit is just one week away! 🚨 Save it to your calendar here: https://lnkd.in/g8w7XaJ2 ICYMI: Roche is joining Posit for a live event next Tuesday, September 10th, on their end-to-end R journey to a new drug application (NDA) submission! Some of what their team will cover: 💪Challenges of achieving their filing goal 🧬Processing, analyzing, and visualizing clinical data using R 🤝Communication and collaboration process with regulatory agencies 📝Presenting R-generated data and documentation in the submission framework Plus, a live QnA session will answer your questions after the presentation. Save it to your calendar with the link above, and we'll see you next week! ☺️

Shiny Contest 2024 - Have you always wanted to build something tricky with a Shiny app? Maybe learn how to integrate an LLM or RAG into a Shiny app? Perhaps finally try out Shiny for Python or R-Shiny? When are you going to make the time to finally build that Shiny app you've always dreamed of? Consider this your call to action! Key Details: - Submission Deadline: Sunday, September 15 (midnight, anywhere on earth) - Learn more & submit here: pos.it/shiny-contest - Prizes: Plenty of hex-sticker-ephemera for participants, plus prizes for winners, runners up, & honorable mentions.  - New to Shiny?: Special Prizes for novice Shiny developers, in both R & Python. - Shiny Community: This is a contest – with all the associated prizes and online cred – but the Shiny contest is really a community event to share with and learn from each other. All submissions are public with a reproducible public repo. It's your time to Shine! Have questions or want feedback?, join us on the Posit community forum, https://lnkd.in/gT65YYpe. Also, Shiny users (and the Shiny team!) regularly talk on discord as well https://lnkd.in/gzHbt5ha. #RShiny #ShinyforPython #posit #rstats #datascience

Connect Cloud, now in Public Alpha, makes it easy to publish and share your favorite Python and R frameworks within a simple cloud environment – in just a few minutes! All you need is code in a public GitHub repository. Connect Cloud does the rest. In a recent event, we gave an overview of Connect Cloud and how you can use it today. We covered: 🚀 A demonstration of Connect Cloud's user-friendly interface 💡 Step-by-step guide on getting started with two example workflows 📊 Overview of supported frameworks, including Shiny, Streamlit, Dash, Bokeh, Quarto, R Markdown, and Jupyter notebooks Check out the event recording, now available on YouTube! 🎥 https://lnkd.in/gcbEqSy5

If you’re an Apache Spark user, you benefit from its speed and scalability for big data processing. However, you might still want to leverage R’s extensive ecosystem of packages and intuitive syntax. One effective way to do this is by writing user-defined functions (UDFs) with sparklyr. UDFs enable you to execute R functions within Spark, harnessing Spark’s processing power and combining the strengths of both tools. In a new blog, we cover how to: 1️⃣ Connect R to Spark with sparklyr 2️⃣ Parallelize R code using UDFs in sparklyr 🔍 Explore the new post → https://lnkd.in/gmrHyPQQ

Do you manage constantly changing data and need your pipelines & Shiny app to automatically update? On August 28th at 11 am ET, Isabella V. will demonstrate a streamlined workflow for handling frequently updated datasets in Shiny. You'll see how to simplify your process for keeping dynamic data current and how to reflect those changes in your app or dashboard. You can add the event to your calendar using this link and share any questions you have ahead of time as well, https://lnkd.in/gwqwETWH During this workflow demo, you will learn: - How {pins} stores and retrieves ever-changing data with ease. - How to use pin_reactive_read() in Shiny to automatically trigger updates when your data changes. - How Posit Connect can be set up to rerun your {pin} on a schedule, ensuring your app is updated without disruption. - How to deploy an always-up-to-date app for seamless sharing with stakeholders.