posit::conf(2025)
who it's for
data scientists, r developers, python developers, ml engineers, platform engineers, data visualization engineers
topics
Positron IDE features; Quarto publishing and templates; Shiny app development; LLM agents and assistants; DuckDB for semantic search; renv package management; vetiver MLOps workflows; R and Rust integration; WebR and Pyodide in browser; large-table data explorer; reproducible data workflows; ggplot2 and animated visualization
| title | author | length |
|---|---|---|
| How I got unstuck with Python | Julia Silge | 20m |
Explains why Python felt stuck a decade ago and names exact fixes: dependency hell is tamed by an all‑in‑one tool called uv that does dependency resolution… | ||
| Making the most of artificial and human intelligence for data science | Hadley Wickham, Joe Cheng | 59m |
Practical demos show using ellmer and chatlas to call LLMs from R/Python, register functions as tools, run code remotely and build agents that execute and… | ||
| Trustworthy Data Visualization | Kieran Healy | 58m |
Shows that trustworthy visualization is not a single image but a social pipeline: R and ggplot v4 map numbers to shapes reliably, gganimate produces an… | ||
| Approaching Positron from RStudio | Mauro Lepore | 05m |
Argues that the easiest path to Positron is to start inside RStudio by changing three habits: use the Commands Palette to learn command names that match… | ||
| The Psychology of Technologists | Cat Hicks | 01h 03m |
Presents empirical claims and usable tools: a LABS model (learning culture, agency, self-efficacy, belonging) that correlates with productivity from a… | ||
| Positron AI Session | George Stagg, Winston Chang, Tomasz Kalinowski, Carson Sievert | 45m |
Positron Assistant is a preview feature you enable in settings and log into Anthropic and GitHub Copilot; it offers ask, edit and agent mode where the agent… | ||
| Exploring Datasets in Positron | Wes McKinney | 19m |
Positron ships a Data Explorer that actually handles massive tables — DuckDB powers billion‑row/backend queries and the UI works with millions of rows or… | ||
| Positron: The First Five Minutes | Isabella Velásquez | 32m |
A five minute demo shows Positron opening a Git repo, running a Python script that reads a Georgia Aquarium species CSV, summarizes conservation status and… | ||
| Practical {renv} | Shannon Pileggi | 20m |
Example project jsonlite-example shows that renv::restore() can download nineteen packages in twenty-five seconds and still fail when binaries for that… | ||
| AI-Powered Data Science in Positron | Ryan Johnson | 45m |
Positron is an AI‑ready, multilingual IDE that embeds an AI client and an extension for exploratory data analysis; Positron Assistant makes context‑aware fixes… | ||
| 10 Years of Data Science Tools...and What Happens Next | Jonathan McPherson | 51m |
RStudio reports 5 million runs per week and design lessons focus on watching users not just reading issue trackers, which leads to concrete features: a… | ||
| Using Quarto to Improve Formatting/Automate the Generation of Hundreds of Reports | Keaton Wilson | 20m |
KS&R rebuilds a legacy Mail Merge pipeline into an automated Quarto workflow using tidyverse, a datastore, a main automation script with helper functions, a… | ||
| Election Night Reporting Using R & Quarto | Andrew Heiss, Gabe Osterhout | 22m |
Built a full election night pipeline using R and Quarto that pulls from the official vendor database, prebuilds and stores over 400 maps and tables, and… | ||
| Tips & tricks from the maintainers of Positron | Sharon Wang, Melissa Barca | 20m |
Positron is a next‑generation IDE that demonstrates concrete features: a four‑pane data science layout with files, editor, variables, console and plots; a… | ||
| What we're doing to make Quarto fast(er) | Carlos Scheidegger | 05m |
Quarto spends about one third of time in TypeScript and two thirds in Pandoc; rendering 400 docs for the website takes 4 minutes 45 seconds (about 30% faster… | ||
| Web applications with Shiny and React and AI | Winston Chang | 20m |
Shiny backend pairs with a React front end so browser state and server reactivity coexist via useShinyInput and useShinyOutput, sending JSON with renderJSON… | ||
| Same Data, Different Tools: Visualizing with R and Python | Olivia Hebner | 16m |
Recreates W.E.B. Du Bois’s 1900 Paris Exposition county maps using 1870 and 1880 census and shapefile data; R workflow uses tidyverse ggplot2, grid viewports… | ||
| Make Big Geospatial Data Accessible with Arrow | Cari Gostic | 05m |
Firelytics is a historical database and Shiny dashboard that maps sub-daily wildfire progression for 22,000 fires and millions of polygons, used in NOAA and… | ||
| surveydown | John Paul Helveston | 20m |
A Markdown-first survey system turns Quarto documents into standalone Shiny apps with a PostgreSQL backend (Supabase recommended) so surveys are version… | ||
| duckplyr: Analyze large data with full dplyr compatibility | Kirill Müller | 18m |
duckplyr 1.0.0 on CRAN lets existing dplyr pipelines run against DuckDB-backed Parquet and remote HuggingFace datasets with no SQL translation and automatic… | ||
| Making Things Nice in Python | Richard Iannone | 17m |
Pointblank adds support for a wide range of table types by wiring two processing pipelines around Narwhals and Ibis, preserving output artifacts in the same… | ||
| The Curse of Documentation | Michael Chow | 20m |
Claim: most documentation is “cursed” because examples and an API reference (here a gallery plus about 105 functions) don’t show how pieces fit together, and a… | ||
| Expanding Quarto's Capabilities with Lua | Christophe Dervieux | 20m |
Shows how Lua filters actually modify the Pandoc AST to solve concrete problems, with working examples: a filter that appends a trademark symbol to every "Acme… | ||
| Teaching data visualization with R entirely in Quarto | Claus Wilke | 17m |
Unifies slides, website, live exercises and graded PDFs into a single Quarto workflow that removes hosted R servers by running code in the browser with Quarto… | ||
| Outgrowing Your Laptop with Positron | Austin Dickey | 21m |
Demonstration shows Positron IDE scaling a Python workflow that reads the Ursa Labs NYC taxi Parquet set (about 36 GB on disk, ~1.5 billion rows) using Ibis +… | ||
| Air - A blazingly fast R code formatter | Davis Vaughn, Lionel Henry | 17m |
Air is an R code formatter implemented in Rust that formats big files nearly instantly — about 20 ms for a 1k‑line file and ~200 ms to format all of dplyr’s… | ||
| Theming Made Easy: Introducing brand.yml | Garrick Aden-Buie | 20m |
A portable YAML schema called brand.yml encodes metadata, palettes, typography and logo assets so the same brand rules style Shiny apps and Quarto reports in R… | ||
| Quarto for Business Collaboration & Technical Documentation in Word docx format | Bill Pikounis | 20m |
Workflow uses Quarto + R + Posit to render docx reports with programmatic figure and table creation, producing autonumbering and cross-referencing and caption… | ||
| Trust, but Verify: Lessons from Deploying LLMs in a Large Health System | Timothy Keyes | 21m |
Stanford Health Care deploys an LLM chatbot called Chatter (ChatEHR) to generate real-time chart abstractions and referrals, routes clinicians to multiple… | ||
| AI missteps as stepping stones | Ryan Timpe | 19m |
Notes give concrete examples: LLM coding assistants swap between PySpark and Pandas causing type errors and broken notebooks when prompts are imprecise; naive… | ||
| Is that LLM feature any good? | Simon P. Couch | 16m |
Shows that an R port of InspectAI called Vitals lets R chat apps built with Ellmer be evaluated end to end: dataset (user queries and targets), solver (Ellmer… | ||
| Brand YML and Dark Mode in Quarto | Gordon Woodhull | 04m |
Brand YML is a specification for consistent color, typography and logos and Quarto already implements it for HTML and Typst formats, with SCSS layering for… | ||
| Polyglot Data Science: Why and How to Combine R and Python | Jeroen Janssens | 17m |
Combining R and Python solves concrete problems like using an algorithm only available in an R package or embedding R analysis in a Python ETL pipeline… | ||
| Enabling geospatial workflow management with targets | Eric Scott | 05m |
An R package called geotargets integrates terra with the workflow engine targets and fixes the common external pointer is not valid failure by providing custom… | ||
| Purrrfectly parallel, purrrfectly distributed | Charlie Gao | 19m |
purrr now maps in parallel using Mirai, an NNG‑based runtime that scales to millions of tasks over thousands of connections and claims up to a thousand times… | ||
| Putting an {ellmer} AI in production with the blessing of IT | Andrie de Vries | 05m |
Built a working proof of concept in 20 lines of Ellmer code that queries DuckDB and joins Salesforce + Zendesk records into a Shiny app, and users adopt it… | ||
| Data Science in Production Has Never Been So Easy | Adam Wang | 18m |
Claims that Posit Connect removes the deployment friction between local R/Python development and production by replacing manual cron-like work with scheduling… | ||
| Get Your Ducks in a Row with Databases | Melissa Albino Hegeman | 15m |
Small team replaces repeated live SQL Server queries with a local DuckDB cache layer written from R (DBI + duckdb) via a script named create_duckdb_database.R… | ||
| There's a new Plumber in town | Thomas Lin Pedersen | 20m |
Plumber2 is a complete rewrite of plumber that keeps familiar Roxygen-style annotations but uses Roxygen2 under the hood, adds richer input/output schemas, and… | ||
| Zero Tolerance for Dirty Data: A Pointblank Prescription for Data Hygiene | Arnav Patel | 19m |
Shows a concrete Pointblank workflow: use scan_data to get an HTML overview, create an agent interrogation with col_vals expectations to halt on failures, and… | ||
| Plotgardener Genomic Data Visualization Made Easy | Rishabh Sharma Vemuri, Abiye Berhanu | 05m |
Plotgardener is an R package with over 10,000 downloads and the team builds a cross platform desktop app that lets noncoders create multi panel publication… | ||
| From SDKs to Agents: Building with R and Python on Databricks | Rafi Kurlansik, Zac Davies | 19m |
Demo shows a working pipeline that lets Positron Assistant call a simple R MCP server (about 20 lines for the demo, full implementation ~150 lines) which uses… | ||
| It's all fun and games til your analysis code is finished | Alex Rossell Hayes | 05m |
A tiny R package called player package turns long analyses into short console games that accept numbers, words, or whole sentences as input and even use WASD… | ||
| Building Governable ML Models with R | Tom Shafer | 20m |
Centering model work on packaging as project structure with usethis/devtools (create_package(), use_package(), document()) plus automated CI (test(), check())… | ||
| Semantic Search for the Rest of Us with DuckDB | Marcos Huerta | 19m |
Demonstrates a low‑memory Python pattern to run live semantic search on small servers using LlamaCPP, DuckDB fixed length arrays and SentenceTransformer for… | ||
| Design of Everyday Shiny Apps | Casey Aguilar-Gervase, Maya Gans | 18m |
Redesign of a messy Shiny prototype into a production-ready app: layout reorganized to a top horizontal navigation and consistent grid, color limited to a… | ||
| Empowering Learners with WebR, Pyodide, and Quarto | Ted Laderas | 19m |
Demonstrates running R and Python entirely in-browser with WebR, Pyodide, and QuartoLive, showing a live filter penguins exercise that gives immediate feedback… | ||
| Exploring Extensions from the Posit Connect Gallery | Toph Allen | 19m |
Gallery delivers four ready apps for maintaining long-lived Connect content: a Usage Metrics Dashboard that lists every published app/API with filters and CSV… | ||
| Talk data to me: How to present youR data to any audience | Freda Warner | 19m |
Clear, single-message presentations start by picking one main takeaway and pruning everything else; use supplementary slides as a backup (organised by topic)… | ||
| IDE-ntity Crisis: Choosing the Right Tool for Me | Isabel Zimmerman | 19m |
Compares JupyterLab, VS Code and Positron by concrete features: notebooks and widget compatibility in JupyterLab; VS Code’s extensions and %%-powered… | ||
| Hacking Productivity with LLMs | Nic Crane | 19m |
Eighteen months of experiments with GitHub Copilot and ChatGPT on R projects produce mixed, concrete results: generating an entire HTML widget package from… | ||
| AI Coding Assistants: Hype, Help, or Hindrance? | Rebecca Barter | 20m |
Positron Assistant (backed by GitHub Copilot and Anthropic Claude) generates a full Quarto analysis from a prompt — it conduct an analysis of hospital costs… | ||
| Building Multilingual Data Science Teams | Michael Thomas | 19m |
Argues that R and Python coexist comfortably and that a production multilingual team is practical and valuable, supported by concrete tooling and practices… | ||
| Leveraging LLMs for student feedback in introductory data science courses | Mine Cetinkaya-Rundel | 18m |
An RStudio workflow hooks student Quarto submissions into a hosted model via RAG with semantic search and an R package front end, producing immediate… | ||
| Teaching Data Sharing through R Data Packages | Kelly McConville | 21m |
An instructor converts course datasets into PDX Trees and a demo jeans dataset and teaches students to build R data packages using devtools, usethis and… | ||
| maidr: Empowering Accessible, Multimodal Data Visualizations | JooYoung Seo | 20m |
Maidr is a Python package that converts matplotlib and seaborn plots into synchronized visual, tactile, textual, audible and conversational outputs by adding… | ||
| Extending the horizons of R with Rust | Andrés Quintero | 21m |
Concrete examples of Rust improving R performance and tooling: a small string‑parsing function becomes 18x speedup when compiled with extender, a production… | ||
| Automating Event Scheduling with Python in Positron | Becky Hodge | 04m |
Automates scheduling for a 300+ attendee writers conference using Python in Positron to turn manual Excel work into reproducible scripts, cutting prep from… | ||
| Multiple Console Sessions in Positron | Dhruvi Sompura | 05m |
Feature launches GA July after an initial March 2025 release and adds true concurrent REPLs inside Positron: create sessions with the create button or… | ||
| R-multiverse: a new way to publish R packages | Will Landau | 18m |
A new dual repository built on R‑Universe plus GitHub/GitLab hosts a Community repository of user‑published releases and a production repository of vetted… | ||
| Disposable Shiny Apps | James Wade | 19m |
Claims that a typical week of Shiny work becomes hours, demonstrated by a twin potty training command center built in about 12 minutes using Positron Assistant… | ||
| Precision Medicine for All: Using Tidymodels to Validate PRS in Brazil | Flávia Rius | 17m |
Uses tidymodels to validate European-derived breast cancer PRS in a highly admixed Brazilian cohort (≈75% multi-ancestry), showing three PRSs tested, two… | ||
| Use Your Data Skills for Good | Sharon Machlis | 06m |
Builds a Shiny app with full-text search over decades of PDF newsletters and adds a chatbot that returns source document links, using llama parse to extract… | ||
| From messy to meaningful data: LLM-powered classification in R | Dylan Pieper | 17m |
Demonstrates using ellmer and the parallel chat structured API in R to turn text, PDFs and images into labeled data, measuring real outcomes: LLM… | ||
| Posit and the modern data stack: Using Posit, Snowflake, and Databricks | James E. Blair | 21m |
Demonstrates connecting Python and R IDE workflows to remote warehouses: uses Positron Assistant with Claude 4 Sonnet and ibis to query Snowflake, and uses… | ||
| The Power of Snowflake and Posit Workbench | Jonathan Regenstein | 20m |
Demonstrates running R inside Snowflake using the Posit Workbench Native App to import Marketplace macroeconomic data, join it with a Kaggle loan dataset, do… | ||
| Building Agentic AI applications with Positron and AWS Strands Agents | Greg Headley, Shun Mao | 16m |
Shows a working pipeline that turns Python functions and third‑party APIs into callable tools for an LLM agent using Strands Agent SDK and Strands Agent Tools… | ||
| On Teaching Adults to Code | Kristin Bott | 18m |
Posit Academy runs 4–6 week courses (foundations in R and Python, intermediate R, Shiny) with weekly asynchronous tutorials, small groups of 8–10, and mentored… | ||
| Demystifying MLOps with Vetiver | Myles Mitchell | 18m |
Conference meetups show 58 talks with about 40% tagged MLOps and 25% LLMs, and the claim is that beginners can get started without deep cloud expertise by… | ||
| R & Python playing nice, in Production | Claudia Penaloza | 17m |
Continental builds a production ML pipeline that replaces ~4 months of physical tire testing with overnight batch predictions and serves over 100 developers… | ||
| History repeats itself: What the Du Bois Challenge taught me about reproducing design | Simi Ndaba | 17m |
Reproduces W.E.B. Du Bois’s handcrafted sixty charts using only R, proving complex historical layouts can be rebuilt faithfully; source CSVs and a shapefile… | ||
| shinyGovStyle- accessible gov design in RShiny | Cameron Race, Sarah Wong-Brown | 19m |
shinyGovstyle brings GOV.UK frontend CSS into R Shiny, letting analysts build production-ready dashboards in hours (not weeks) and is used across departments… | ||
| Get the Latest on Posit's Commercial Products | Kelly O'Briant, Tom Mock, Joe Roberts, Kara Woo, Alex Chisholm, Chetan Thapar, Steve Nolen | 01h 08m |
Overview of concrete product updates and how they work: Workbench adds audited Workbench jobs that capture immutable execution metadata and Prometheus metrics… | ||
| Can I trust that package? | Colin S Gillespie | 19m |
A lightweight scoring system called Litmus assesses R packages by pulling metrics (license, security, code coverage, docs, maintenance, downloads… | ||
| Positron for Babies: Communicating Technical Concepts to all Audiences | Ryan Johnson | 19m |
Three concrete techniques—laddering, avoiding jargon, and using simple metaphors—are demonstrated by explaining quantum computing with a baby book, by mapping… | ||
| Running a polyglot data science community | Melissa Van Bussel | 22m |
Statistics Canada runs an R and Python user group with ~1,300 members, a ~50-person open committee, nine volunteer office hours, monthly hybrid meetings and… | ||
| Modular, layout-as-code approach for customizable Shiny dashboards | Kim Schouten | 18m |
A Shiny dashboard is split into reusable page/tile/content modules so GDPR-sensitive bits are granted per-module, not per-app, using a layout-as-code JSON that… | ||
| Keeping Data Alive: Persistent Storage Options for Dynamic Cloud Applications | Alex Chisholm | 19m |
A small Shiny/Streamlit aquarium app is extended to record user ratings and reaches v1.1 by wiring persistent storage: Google Sheets for quick free setup and… | ||
| Making Ecological Modelling Accesible with EcoCommons | Jenna Wraith | 17m |
EcoCommons is a cloud platform that turns R packages into scalable workflows, funded with a $5M build that took years and a three year overhaul, and it runs… | ||
| Oops! I accidentally made a production dashboard | Jonathan Keane | 16m |
A dashboard built as a prototype becomes a daily operational tool when executives actually open it every morning, so usage telemetry is the trigger that forces… | ||
| Old Apps, New Tricks: How AI can write Automated Tests for your Shiny Apps | Karan Gathani | 20m |
Automatic generation of regression tests for existing Shiny apps targets Shiny for Python only and produces Playwright-based tests that call the framework’s… | ||
| Who are 'the ggplot2 extenders' and how to become one | Gina Reynolds | 16m |
Formed in 2022, the ggplot2 extenders group meets virtually and has showcased almost 30 extension projects that demonstrate concrete patterns, code snippets… | ||
| Instant Impact: Developing {docorator} to Simplify R Adoption for Teams | Becca Krouse | 20m |
{docorator} is an open source R package that turns gt tables and ggplots into production-ready PDFs by wrapping Quarto/LaTeX pipelines and the fancyhdr LaTeX… | ||
| Building Web Apps and APIs in R with Ambiorix | Kennedy Mwavu, John Coene | 20m |
Ambiorix is an R web framework with Express-style syntax that gives full control of the request-response cycle, not a Shiny replacement. It builds multi-page… | ||
| Data-as-a-product: A framework for collaborative data wrangling | Clara Amorosi | 20m |
A reproducible framework called daapr packages data wrangling into versioned, shareable “data products” and is actively used at Bristol Myers Squibb across… | ||
| Ripples of Change with R- It's more than just coding | Yvonne Kienast | 20m |
CIHI moves a SAS-centered team to R over two years by shipping practical fixes (a memory-saving R script for large healthcare extracts), creating a… | ||
| Using paired programming to have fun & sell your solutions | Kris Fabick, Kristin Carr | 19m |
Case study shows pair programming enables a business team to self-deploy a machine learning service: a tidymodels model predicting monthly container bill ratio… | ||
| Data Science Hangout | Rachael Dempsey, Matthew Montero | 36m |
Gen Re handles about $14 billion in reinsurance and builds an enterprise data architecture that pulls from global apps into Azure with Databricks and Posit… | ||
| Shinystate | Eric Nantz | 22m |
shinystate is an R package that records Shiny server‑side bookmarks as named snapshots, exposes methods via an R6 storage class (snapshot, get_sessions… | ||
| Observability at scale | Barret Schloerke | 18m |
Live demo shows OpenTelemetry for Shiny hooked to a LogFire endpoint with just a few env vars, instrumenting a chat-weather app so developers see exact spans… | ||
| Elevating Public Health Decision-Making with R Packages | Kylie Ainslie | 19m |
Shows how structuring analysis as an R package structure (using usethis and roxygen) turns chaotic projects into reproducible codebases, with versioned data… | ||
| Engineer Insightful Shiny Apps with Behavioral Science | Jeremy Winget | 20m |
Dashboard failures often come from psychology not code: a 30 day telemetry trace shows 95% open the URL, 88% land on the app, half use only one filter and 20%… | ||
| See if talking to the doctor is right for you | Max Hockstein | 16m |
Clinicians hand over messy Excel exports and expect binary answers; data scientists want uncertainty and diagnostics. The session shows working R examples… | ||
| From Solo to Social: Making Coding a Collaborative Adventure | Allissa Dillman | 19m |
Claims a shift from solitary learning to repeatable social formats using concrete methods: think pair share sessions that doubled virtual office hour turnout… | ||
| From Data to Dollars: Improving Medical Billing Accuracy Using NLP | Julianne Gent | 19m |
A hospital team builds an automated SQL-to-R pipeline that pulls free‑text notes via odbc and stringr, applies a keyword list plus regex to extract billing… | ||
| Lift Off! Building REST APIs that Fly | Joe Kirincic | 20m |
A deployed Plumber REST API switches its JSON serializer to yyjsonr and adds async worker processes via mirai, cutting per-request serialization overhead and… | ||
| Birthing the pregnancy package | Ella Kaye | 05m |
A small R package called pregnancy implements a how_far() API that prints week-by-week progress, addresses messages by person, computes milestone dates and… | ||
| Advancing Epigenetic Predictors with Scalable Machine Learning | Varun Dwaraka | 20m |
Company converts Illumina methylation arrays into validated health predictors using R (Sesame, MinFi), Python/PyTorch and Posit Workbench on AWS (EFS, S3, EC2… | ||
| ChalkTalk: Globalizing Data Science Education with AI-generated Videos | Kene David Nwosu | 21m |
Open-source ChalkTalk converts Quarto documents into multilingual videos by adding simple TTS and TTV attributes to markdown, integrates with Quarto and… | ||
| How non-programmers can make sparks fly when using testthat during package development | L. McKenna | 18m |
Package development for non-programmers is practical: using testthat plus CI catches real bugs and supports refactors. Example: tidywater’s define_water… | ||
| Automating for Consistency | Kristin Mussar | 20m |
A custom R package called WrangleIt standardizes clinical biomarker pipelines across 45 oncology trials and 20+ external vendors, applying a single unified… | ||
| When R Met Python: A Meet Cute on Posit Connect | Blake Abbenante | 21m |
A Gantt-based Primavera app becomes a sprawling Shiny monolith, so the team extracts core logic into internal R and Python packages with feature parity… | ||
| Building a Real-Time COVID-19 Surveillance System with R | Hugo Fitipaldi | 18m |
Global dataset includes over 20 million daily reports from ~200K participants and the Sweden arm has ~140K participants with ~20K reported tests. R is used… | ||
| Bold indicates negative? | Luis D. Verde Arregoitia | 18m |
Over a billion spreadsheet users exist and analyses find 25–60% of public spreadsheets use formatting to encode data. The workflow imports both cell values and… | ||
| Deploy with Confidence: Strategies to Maximize Success (on Posit Connect) | Ryszard Szymański | 12m |
Describes a concrete workflow for Posit Connect: create two content items called blue and green and swap a vanity URL to switch traffic, automate the swap with… | ||
| Championing modern science workflows to benefit dairy farmers | Mark Neal | 20m |
DairyNZ replaces ad hoc files with a scalable stack: Snowflake cloud data warehouse, GitHub for code, and Posit Workbench for R plus Posit Connect to serve… | ||
| Integrating AI, Data Science Platforms, and Psychological Safety | Chris Engelhardt | 17m |
An enterprise AI framework provides reusable backend services, mock testing, and prompt caching and runs three production applications while internal R and… | ||
| What R We Counting? | Ben Arancibia | 20m |
GSK sets a deadline of end of 2025 and a target of 50% code in open-source languages, so the project extracts GitHub language stats via the GitHub API using… | ||
| Uncharted Nuuk: Data Exploration in Search of the Unexpected | Emil Malta | 21m |
Nuuk population data from Statistics Greenland (roughly 18–20k people) is pulled via a shared Nordic API using an R API wrapper, cleaned with tidyverse and… | ||
| Virtual Day AMA | Richard Iannone | 45m |
Ports GT into Python as Great Tables and ports pointblank too, then brings features back into R; maintains packages on CRAN, PyPI and Conda-forge and warns… | ||
| AskRADS: An AI Recommendation Agent for Maximizing ROI of Data Science Collaborations | Regis A. James | 19m |
An AI recommendation agent named AskRADS recommends experts and prior solutions from a 500-member RADS library to cut redundant data‑science work and speed… | ||
| Failure (and Mistakes) | Laura Gast | 21m |
Presents a practical taxonomy — structural, symbolic, ambient — tied to concrete failures: Southwest’s outdated crew‑roster software leads to cascading outages… | ||
| Data 911: how Posit can support decision-makers in times of environmental crisis | Marcus Beck | 20m |
Posit products and a Shiny dashboard synthesize thousands of sample points from dozens of agencies and hundreds of sites into actionable outputs within a six… | ||
| A tale of one organization: learning how to swim in the ocean of open source | Katerina Gapanenko | 18m |
Canadian Institute for Health Information shifts 350+ analysts and all analytics to R and Python, migrating 1.5 million lines of code, 500 products and 18,000… | ||
| Virtual Day Q & A Hangout with Virtual Speakers | Dylan Pieper, Gina Reynolds, John Coene, Kennedy Mwavu, Ryszard Szymański, Rachel Dempsey, Libby Heeren | 01h 00m |
A live hour of audience Q&A surfaces concrete guidance: use blue-green switching restarts processes when flipping vanity URLs and watch for… | ||
| Translating R for Data Science into Portuguese: A Community-Led Initiative | Beatriz Milz | 21m |
Community volunteers secure O'Reilly permission in September 2023 and run the translation from Sept 2023 to Nov 2024 with more than 20 active contributors and… | ||
| rOpenSci Champions: Building Communities of Open-Source Leaders | Noam Ross | 26m |
rOpenSci runs a 12-month part-time fellowship that trains collaborative R package authorship, peer review, and community leadership; it runs two 10-person… | ||
| nothing matches | ||