Posit PBC

Turning your data work into applications and documents for others to consume is one of the most rewarding parts of data science. But it doesn’t have to be complex. Join us for a live event on August 6th at 11 am ET to discover how Connect Cloud, now in Public Alpha, empowers you to effortlessly publish and share your favorite Python and R frameworks within a simple cloud environment. 📅 Save the Date: August 6th 🕒 Time: 11 am ET 👉 RSVP: http://evt.to/eeugsahhw

This August, the R/Pharma in-person summit is happening in Seattle! 🤔 What’s R/Pharma? The R/Pharma Summit is an in-person event on August 11th, during which pharmaceutical industry leaders will discuss the future of drug development using open-source tools and collaborative work across the industry. 🗣️ What will be discussed? Last year, attendees discussed key topics in the space, such as:  - Interactive CSR  - Open Source Development  - Modern SCEs  - Validating #RShiny  - Open Source Change Management  - LMs/AA/AI Opportunities  - Multi-modal Drug Development While the key topics are being gathered now, this year's front runners are:  - Productionalizing R  - Distributing #rstats Packages  - Clinical #StatisticalProgramming with AI/LLM  - Helping SAS programmers with R  - Risk & Shiny/IDDs for GxP  - Reproducibility for R-based SCEs 🤩 Sound of interest? Register for the Summit: https://lnkd.in/ggvMFhcT 2024 R/Pharma Summit Agenda: https://lnkd.in/g27P6dha

We’re thrilled to announce we’ve released Shiny for Python v1.0! 🎉 Not only does this release include several exciting features and significant improvements, but it’s also the release we’re choosing to call Shiny for Python v1.0! In the blog post sharing about this release, we cover: 🏷️ What does it mean to hit v1.0? – For the Shiny team, bestowing the “v1.0” label on a piece of software is a declaration of a certain level of quality, feature completeness, and API stability. 🤖 New Chat() component – The new Chat() component makes it easy to implement generative AI chatbots, powered by any LLM of your choosing. 🔍 End-to-end testing – After over a year of development and internal testing, we’re now exporting an end-to-end testing framework for Shiny apps. End-to-end tests are a great way to maintain code quality by ensuring that apps behave as expected in response to (simulated) user interactions in a real browser. Our approach builds on the fabulous Playwright framework, which provides a fast, powerful, and resilient foundation for browser-based testing. 📊 Data frame improvements – Shiny provides two components for rendering data frames: DataGrid() and DataTable(). The former is a more interactive and feature-rich table, while the latter is a simpler, more lightweight table. We’ve made improvements in this release related to styling, selection and editing, Polars and typing support, and control over sorting and filtering. 🎥 Multimedia components – Our assistant app takes webcam video as input, and plays audio as output. To make this a nice polished experience, we created a pair of Shiny-enabled web components to serve as input/output. 📦 Modules for Express – Shiny Express now has support for using Shiny modules, and you can even create Shiny modules using Express syntax. 🎨 Use Bootswatch themes with shinyswatch – We’re also happy to announce the release of shinyswatch v0.7.0. shinyswatch brings Bootswatch themes to Shiny for Python, allowing you to customize the appearance of your Shiny apps with a variety of themes. Read more about this release → https://lnkd.in/gNzgxzga

Check out the keynotes lined up for Posit Conf 2024 With 4 keynote sessions, 26 all-day workshops, 24 breakout sessions, numerous networking events, and all-day lounge access with scheduled demos and time with the Posit team + partners, you won't want to miss Posit Conf. Learn more & register at http://posit.co/conference ⬡ Data Wrangling [for Python or R] Like a Boss With DuckDB with Hannes Mühleisen, CEO, DuckDB Labs. Data wrangling is a challenging process often filled with inefficiencies and ad-hoc solutions, but DuckDB aims to streamline this by integrating advanced data management techniques into an accessible, zero-dependency package for R and Python, featuring top-notch CSV reading, Parquet file and Arrow structure support, and efficient query processing and updates. ⬡ A future of data science, with Allen Downey, Principal Data Scientist, PyMC Labs. In the data science hype cycle, we have moved from the "peak of inflated expectations" in 2012 through the "trough of disillusionment" in 2016, and are now nearing the "plateau of productivity," making it an ideal time to evaluate our progress, the effectiveness of our tools and processes, and the future direction of data science. ⬡ Practical Tips for using Generative AI in Data Science Workflows, with Melissa Van Bussel, Senior Data Analyst, Statistics Canada Now that we're a couple of years into the age of Generative AI, it's clear that this technology has the power to transform the way that we work. As Generative AI continues to evolve, the ways that we use these models should evolve, too. In this talk, we'll explore how we as data professionals can maximize the benefits of these tools in 2024, and how they can be incorporated into our everyday workflows. We'll also look at creative use cases that might not seem immediately obvious, but that will allow us to combine Generative AI with other data science tools that we already know and love, like Quarto and Shiny. Melissa Van Bussel ⬡ Updates from Posit, with Hadley Wickham Please join us for our first Posit keynote, where we’ll tell you about our mission, our products, and some of the exciting things we’ve been working on over the last year. Hadley Wickham, Chief Scientist, will talk briefly about Posit’s mission and products, before introducing the three speakers who will update you on some of the coolest projects we’ve worked on over the last year. James Blair, Senior Product Manager, will give you the latest on our partnerships with Databricks and Snowflake, and how we’re building seamless integrations that let you focus on data science instead of dealing with technical details. Charlotte Wickham, Developer Educator, will show you what’s new in Quarto, focusing on new ways to build beautiful PDFs with Typst. Finally, George Stagg, Senior Software Engineer, will tell you about the latest innovations in teaching using webR, a tool that lets you compile your R code into standalone HTML files.

The 4th Shiny Contest is now in full swing! This community event celebrates learning, sharing, and recognizing outstanding work within the Shiny developer community. Whether you’re new to Shiny or an experienced developer, we encourage you to participate. Create and share the Shiny app you’ve always wanted to see—an inspiring example for others to learn from! Learn more in the blog post: https://lnkd.in/g_FZ_rBA

One week left for the Plotnine Contest! Check out generative art made with Plotnine. Hassan and the Plotnine team are open to all sorts of entries, from great learning examples, superbly informative plots, historic plots, and including generative art. Anything you're excited to work on and share. Get plotting!

There will be dozen’s of speakers from Posit at posit::conf this year, below is an overview of what to look forward to: ⬡ Keynote: Updates from Posit, featuring updates on Posit’s mission, products, and recent projects. Speakers include Hadley Wickham on Posit’s mission, James Blair on partnerships with Databricks and Snowflake, Charlotte Wickham on new features in Quarto for PDF creation, and George Stagg on innovations in webR for teaching R code. https://lnkd.in/gMXqantr ⬡ Shiny Templates - Greg Swinehart. https://lnkd.in/gQPnW24h ⬡ What's New With Shiny For Python? - Bending the Shiny learning curve with Shiny Express - Joe Cheng - Building ML and AI apps with Shiny for Python - Winston Chang Supercharge Your Shiny (for Python) App: Unleashing Jupyter Widgets for Interactivity - Carson Sievert - Editable data frames in Py-Shiny: Updating original data in real-time - Barret Schloerke https://lnkd.in/ggYNcE8t ⬡ What's New With Tidymodels? Four talks on tidymodels, including, - Survival analysis is coming to tidymodels! with Hannah Frick - Evaluating Censored Regression Models is Hard with Max Kuhn - Fair machine learning with Simon P. Couch - Tidypredict with recipes, turn workflow to SQL, spark, duckdb and beyond with Emil Hvitfeldt https://lnkd.in/giUKhqxS ⬡ Keras 3: Deep Learning made easy - Tomasz Kalinowski. https://lnkd.in/gukfkbHz ⬡ Oops I'm A Manager - Finding your Minimal Viable Process - Andrew Holz. https://lnkd.in/gnmag8Ss ⬡ Data Contracts: Keep Your Weekend Work-Free! - Nick Pelikan, Senior Solution Architect, Posit. .https://lnkd.in/gyvs_vK4 ⬡ Deploying data applications and documents to the cloud - Alex Chisholm, Product Manager, Cloud Platforms, Posit. https://lnkd.in/gyvs_vK4 ⬡ Introducing Positron, a new data science IDE. A series of 7 talks introducing Positron. Positron is a new, extensible data science IDE in early beta testing that supports Python and R for exploratory data analysis, reproducible authoring, and publishing, with potential for additional language support in the future. https://lnkd.in/gTDg_dDJ Register for Posit Conf at https://lnkd.in/e7a659Ui

Deploying Python data apps just got easier with Connect Cloud! 🙌🏼 If you can build an application locally, you can deploy it to Connect Cloud. All you need: ✔️ Public GitHub repository ✔️ Working application ✔️ requirements.txt file We created a how-to guide that shows how to deploy a Dash app to Connect Cloud. While this guide covers Dash apps, the same workflow also supports Streamlit, Shiny, and Bokeh apps. 💡 How-to guide → https://lnkd.in/gc97SMZC

How to analyze and explore data stored in Snowflake using R ❄️ In this tutorial, James Blair, Sr. Product Manager of Cloud Integrations at Posit, shares how to: 1️⃣ Set up an R environment inside of Posit Workbench running as a native app on Snowpark Container Services. 2️⃣ Use the RDB player interface to push computation into Snowflake, allowing you to access greater memory and compute resources than you typically would in a standard R session. 🔍 Explore more about the Snowflake and Posit partnership → https://lnkd.in/gt2QCs_i 🎥 Watch the tutorial on YouTube → https://lnkd.in/gh9P7wNm

We are thrilled to announce the release of Quarto 1.5! 🎈 Highlights in this latest update include: • Typst CSS: CSS properties on HTML tables, divs, and spans are also translated to Typst properties, so that they should look as good in PDFs. • Improved Website Draft Support: Quarto 1.5 brings improved support for workflows involving draft posts and pages. Drafts can be gone, unlinked, or visible, and the linking behavior of draft documents is improved. • Native Julia Engine: Opt-in to a native Julia engine. • Placeholder Shortcodes: New shortcodes for placeholder images and text. • Website Announcements: Add a customizable banner at the top of your website! Learn more in the latest post on the Quarto blog: https://lnkd.in/gHJ6HdXJ