@Posit@fosstodon.org
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Posit

@Posit@fosstodon.org

We make free, open-source software for data scientists like the RStudio IDE.

We're formerly known as RStudio. You can always download our open-source IDE here. https://posit.co/download/rstudio-desktop/

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Posit, to random
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It's a good weekend to learn survival analysis with tidymodels! ⏳

The tidymodels team wrote up a few case studies for you:

• Using survival analysis to see how long it takes the Department of Buildings in NYC to disposition complaints: https://www.tidymodels.org/learn/statistics/survival-case-study/
• Computing time-dependent measures of performance: https://www.tidymodels.org/learn/statistics/survival-metrics/

Read the announcement on survival analysis in tidymodels: https://www.tidyverse.org/blog/2024/04/tidymodels-survival-analysis/

Happy learning! #RStats #tidymodels

Posit, to python
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RStudio IDE and Posit Workbench version 2024.04.0, code-named “Chocolate Cosmos, is now out! 🎉

The latest release comes with several updates, such as bundling Quarto version 1.4, VS Code updates, and support for R 4.4.

Learn more: https://posit.co/blog/rstudio-2024-04-0-whats-new/

Posit, to random
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The sparklyr package and friends have been getting some important updates in the past few months!

sparklyr is a package that allows you to interact with Spark using familiar R interfaces, such as dplyr, broom, and DBI. You can also gain access to Spark's distributed Machine Learning libraries, Structure Streaming, and ML Pipelines from R.

Read more in the blog post: https://blogs.rstudio.com/ai/posts/2024-04-22-sparklyr-updates/

Posit, to random
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Build vignettes with Quarto!

Quarto R package version 1.4 is here 📦✨ The main feature is a new vignette engine that allows you to use quarto as a vignette builder and use .qmd files as vignettes!

The package also includes more enhancements for compatibility with the Quarto CLI 1.4 🔥💻

Learn more in the Release Notes: https://github.com/quarto-dev/quarto-r/releases/tag/v1.4

Posit, (edited ) to opensource
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We’re excited to partner with @rinpharma for their in-person events at posit::conf(2024) at the Hyatt Regency in Seattle! Join us starting on August 11 to discuss the future of open-source drug development.

Learn more in our blog post: https://posit.co/blog/register-for-r-pharma-at-posit-conf-2024/

Posit, to datascience
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While data scientists are often taught about training an ML model, building a reliable MLOps strategy to deploy & maintain that model can be daunting.

It doesn’t have to be this way!

  1. Develop an ML model using Posit Workbench and Tidy Tuesday dataset!
  2. Version, deploy, & monitor that model w/ Posit Connect
  3. Maintain reproducible software dependencies throughout the ML lifecycle with Posit Package Manager

https://www.youtube.com/watch?v=FZW_0HB-Eas&list=PL9HYL-VRX0oRsUB5AgNMQuKuHPpNDLBVt&index=1&ab_channel=PositPBC

Posit, to datascience
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Posit, to python
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Introducing Shiny for Python templates! 🐍

We're thrilled to offer opinionated boilerplate Shiny Templates code that allows you to hit the ground running, whether you need a quick, simple app or a quick, complicated one.

• Read more on the Shiny blog: https://shiny.posit.co/blog/posts/introducing-shiny-templates/
• Watch Carson Sievert quickly get an app running locally with Shiny Templates on YouTube: https://www.youtube.com/watch?v=zQJiMRStYE8

Posit,
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@smach The team is on it! In the meantime, check out Winston's blog post: https://shiny.posit.co/blog/posts/shiny-python-chatstream/

Posit, to python
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What we’ve all been waiting for - the full agenda for posit::conf(2024) is officially live!

You won’t want to miss out on this jam-packed lineup! Here’s what you can expect:

✨ Four keynote sessions
✨ 26 all-day workshops
✨ 24 breakout sessions
✨ Three evening networking events
✨ All-day lounge access with scheduled demos and time with the Posit team and partners
✨ Hours of opportunities to connect with your peers!

🔗 See the full agenda: https://reg.conf.posit.co/flow/posit/positconf24/publiccatalog/page/publiccatalog?search=&tab.day=20240811

Posit, to random
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The Shiny team is delighted to announce another round of updates for 9 different R packages! ✨

In their blog post, they introduce three notable things: non-blocking operations, a JavaScript error dialog and many bslib improvements.

Read more: https://shiny.posit.co/blog/posts/shiny-r-1.8.1/

Posit, to ai
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Chat with AI in RStudio 🤖

With the {chattr} package, you can interact with GitHub Copilot and OpenAI's GPT models directly in RStudio.

• Chat with your models with a Shiny app that runs inside the RStudio IDE. Call it by running chattr_app()
• You can also use the chattr() function to send prompts to the LLM

Learn more on the Posit AI Blog: https://blogs.rstudio.com/ai/posts/2024-04-04-chat-with-llms-using-chattr/

Loading the chattr package, running chattr::chattr_app(), which opens a Shiny app in RStudio's Viewer pane where we ask how to remove a legend from ggplot2, and the LLM replies in the Viewer pane.

Posit, to python
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Are you in Boston and curious about Quarto, the next generation of R Markdown?

Come to the Greater Boston useR Group tomorrow evening, April 23 at 5:30 pm ET. @scheidegger and the Quarto team will be there to talk about "Quarto: Where we are, and where we're going!"

No experience required, just bring your interest in Quarto!

RSVP: https://www.meetup.com/boston-user/events/300298972/

Posit, to datascience
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The Design Philosophy of Great Tables

great_tables & gt are python & R packages to build great looking, useful, data display tables. What guides their design philosophy? Richard Iannone & Michael Chow explore the millennia of history that went into these packages' design.

https://posit-dev.github.io/great-tables/blog/design-philosophy/

Posit, to datascience
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While data scientists are often taught about training a machine learning model, building a reliable MLOps strategy to deploy and maintain that model can be daunting.

It doesn’t have to be this way!

Join us with Julia Silge at Posit on Wednesday, April 24th at 11 am ET to learn how Posit Team provides fluent tooling for the whole ML lifecycle.

No registration is required to attend - simply add it to your calendar using this link, https://pos.it/team-demo

Posit, to python
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plotnine, the Python plotting package inspired by ggplot2, has gotten some significant improvements!

plotnine 0.12 introduces a custom layout manager, offering us the ability to effortlessly produce well-arranged graphics.

Learn more: https://posit.co/improving-the-layout-of-plotnine-graphics

Posit, to python
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We are thrilled to announce the 2024 Table Contest! Data display tables are an indispensable element of analytics but often get too little love. We hope you consider this your call to action to create, share, and celebrate excellent or data tables.

Learn more: https://posit.co/blog/announcing-the-2024-table-contest/

Posit, to random
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We’re most pleased to announce the release of dbplyr 2.5.0!

dbplyr is a database backend for dplyr that allows you to use a remote database as if it were a collection of local data frames. dbplyr 2.5.0 introduces succinct new syntax for literal table identifiers.

Learn more on the tidyverse blog: https://www.tidyverse.org/blog/2024/04/dbplyr-2-5-0/

Posit, to python
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Great Tables v0.4.0 is out! Featuring nanoplots.

great_tables is a python package for making nice-looking data display tables.

New features:

  • the fmt_nanoplot() method for adding nanoplots to your table

  • improved HTML table representations in different code environments

  • integration of Polars selectors in the columns= arg of all formatting (fmt_*()) methods

  • the save() method for saving a GT table as an image file

https://posit-dev.github.io/great-tables/blog/introduction-0.4.0/

Posit, to random
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Mark your calendars for April 17-19 for the third edition of the virtual R Shiny Conference, organized and hosted by Appsilon.

Join Posit’s Winston Chang to learn a simpler way of writing Shiny apps; Joe Cheng for his session on Intra-session concurrency in Shiny; Garrick Aden-Buie to learn how to use bslib to create stunning dashboards with Shiny and George Stagg for his keynote on reproducible data science with webR and Shinylive.

‍Register today: https://events.ringcentral.com/events/shinyconf-2024

Posit, to machinelearning
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We’re so excited to announce the support of survival analysis for time-to-event data across tidymodels!

• The tidymodels framework is a collection of R packages for modeling and machine learning using tidyverse principles.
• Survival analysis is now a first-class citizen in tidymodels, giving censored regression modeling the same flexibility and ease as classification or regression.

Learn more on the tidyverse blog: https://www.tidyverse.org/blog/2024/04/tidymodels-survival-analysis/

#RStats #Model #machinelearning

Posit, to random
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We’re thrilled to announce dplyr powered by DuckDB: duckplyr 🎉

A collaboration between the dplyr project team at Posit, cynkra, and DuckDB, duckplyr is a powerful new option that marries the user-friendly dplyr syntax with the execution capabilities of DuckDB.

Learn more: https://posit.co/blog/duckplyr-dplyr-powered-by-duckdb/

Posit, to random
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Posit and Databricks = better together 😌

Posit is integrated with the Databricks Data Intelligence Platform.

This partnership combines the open and scalable tools you ❤️ from Posit with the performance and governance you need with Databricks.

Explore the partnership and what it means for you: https://posit.co/solutions/databricks/

video/mp4

Posit, to random
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Reproducible Medical Manuscripts in Quarto 📚🩺

@minecr shared invaluable insights during her webinar for R/Medicine. Some key highlights from the session include:

• Step-by-step instructions for getting started with a new manuscript project
• Obtaining multiple formats from one source
• Embedding computations from supplementary notebooks
• And more!

Watch the video on YouTube: https://www.youtube.com/watch?feature=shared&v=NK1onTLcgY4

Learn more on the Quarto blog: https://quarto.org/docs/blog/posts/2024-04-01-manuscripts-rmedicine/

Posit, to python
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Is your analytics turned into reports shared with across your organization?

Learn how Quarto can help streamline, automate, & bedazzle your work.

Quarto is a open-source tool that helps you publish your data science work, beautifully, anywhere.

Sit back and listen to the dulcet tones of Christophe's soothing accent as he gives a 30-minute video deep-dive walking you through this end-to-end data science workflow.
Watch the video: https://youtu.be/Hl9TvhlzfV4?feature=shared

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