posit::conf(2023)
2023-09-17..2023-09-20
Chicago, United States
[posit::conf(2023), posit::conf(2024), posit::conf(2025)]
who it's for
R developers, data scientists, Shiny developers, Quarto users, package authors, data engineers, engineering managers
topics
Quarto Typst PDF rendering; Quarto manuscript bundling; webR static Shiny deployment; DuckDB in-process SQL on data frames; duckplyr dplyr-to-DuckDB compilation; tidymodels modeling pipelines; Shiny scaling and deployment strategies; Quarto styling and SCSS theming; pkgdown and GitHub Actions sites; plumber APIs and Dockerized R services
| title | author | length |
|---|---|---|
| Never again in outer par mode: making next-generation PDFs with Quarto & typst | Carlos Scheidegger | 20m |
Quarto 1.4 adds Typst support as an alternative PDF engine to LaTeX, promising clearer error messages and faster builds; demos show rendering of academic… | ||
| Reproducible Manuscripts with Quarto | Mine Cetinkaya-Rundel | 20m |
Quarto adds a manuscript project (Quarto 1.4+) that produces a bundled manuscript bundle containing journal-formatted PDF/Word, source qmd/ipynb files… | ||
| Running R-Shiny without a Server | Joe Cheng | 20m |
ShinyLive now runs R entirely in the browser via webR so a Shiny app needs no R server at runtime; the exporter turns an app directory into static HTML/JS, the… | ||
| In-Process Analytical Data Management with DuckDB | Hannes Mühleisen | 19m |
DuckDB is an in-process analytical engine that runs SQL directly on R data frames with no serialization, showing a 10 million‑row load into Postgres taking… | ||
| A hacker's guide to open source LLMs | Jeremy Howard | 01h 02m |
Explains the three-stage LM pipeline: pretraining, instruction-tuning, and RLHF, and claims GPT-4 is the best model as of Sept 2023; demonstrates concrete… | ||
| duckplyr: Tight Integration of duckdb with R and the tidyverse | Kirill Müller | 18m |
duckplyr turns dplyr pipelines into a single DuckDB query so R code runs end-to-end inside DuckDB with data frame in, data frame out, using multi‑threaded… | ||
| R Not Only In Production | Kara Woo | 54m |
InsightRX uses R end-to-end: a plumber REST API calculates individualized vancomycin doses from EHR data, an R package batch-processes de‑identified hospital… | ||
| It's a Great Time to be an R Package Developer! | Jenny Bryan, Hadley Wickham | 19m |
R Packages gets a second edition and a practical claim: package development is easier and faster now — over 19,000 packages on CRAN (Mar 2023) and a one‑minute… | ||
| Towards the Next Generation of Shiny UI | Carson Sievert | 20m |
bslib modernizes Shiny UI by centralizing Bootstrap assets and adding dashboard components so old apps keep working while new apps look current. It provides… | ||
| tidymodels: Adventures in Rewriting a Modeling Pipeline | Ryan Timpe | 18m |
Rewrites an in-production R package into a tidymodels pipeline, replacing hand-rolled dplyr/tidyr preprocessing and custom Stan tuning with recipes, parsnip… | ||
| Styling and Templating Quarto Documents | Emil Hvitfeldt | 20m |
Quarto styling uses HTML/CSS/SCSS: define a small color palette, set SCSS variables for body/background/fonts and compute headers by darken/lighten math, and… | ||
| From Journalist to Coder: Creating a Web Publication with Quarto | Brian Tarran | 20m |
Built the site with Quarto, Visual Studio Code and GitHub Pages + Actions, moving from local demo to a live site since March 2022. The publication uses a… | ||
| Unlock the Power of DataViz Animation and Interactivity in Quarto | Deepsha Menghani | 14m |
Shows how to build animated and interactive Quarto visuals using R Plotly and Crosstalk with the Richmondway Ted Lasso dataset, producing an animated bar plot… | ||
| Quickly get your Quarto HTML theme in order | Greg Swinehart | 06m |
Shows that a single reusable Quarto HTML theme file makes brand compliance fast: wire up theme.scss, include the required scss defaults comment, and set Sass… | ||
| Parameterized Quarto Reports Improve Understanding of Soil Health | Jadey Ryan | 20m |
A reproducible workflow uses parameterized Quarto plus R tidyverse functional code to produce one-off reports for 900 soil samples across 86 farms, generated… | ||
| It's Abstractions All the Way Down... | JD Long | 01h 03m |
Argues that “all non-trivial abstractions are leaky” and you must be able to inspect one layer below to debug; shows concrete leaks: Power BI direct query runs… | ||
| Github Copilot integration with RStudio, it's finally here! | Tom Mock | 22m |
Native GitHub Copilot integration with RStudio is now available, closing issue #10148 (the most upvoted request), and it surfaces ghost text autocompletion… | ||
| Using R with Databricks Connect | Edgar Ruiz | 17m |
sparklyr now connects to Spark via reticulate->pyspark using Spark Connect, so R sessions can run dplyr/DBI queries remotely and push aggregation to the… | ||
| Conformal Inference with Tidymodels | Max Kuhn | 22m |
Code and results for using tidymodels to get prediction intervals: three concrete methods are implemented — split conformal (fit on training, compute residuals… | ||
| What's New in Quarto?* | Charlotte Wickham | 20m |
Quarto is at 1.3 with a publicly available pre-release for 1.4; new, concrete features include an embed shortcode from notebooks now and QMD in 1.4 that pulls… | ||
| We Converted our Documentation to Quarto | Melissa Van Bussel | 18m |
Converted a 120‑page Word user guide into Quarto using the pandoc convert step to markdown as the starting point, then tidied formatting with IDE keyboard… | ||
| Extending Quarto | Richard Iannone | 20m |
Slides survey ready-made Quarto shortcode extensions for icons and formatting, demoing installation via "quarto add <repo>" and committing the extension folder… | ||
| Grammar of Graphics in Python with Plotnine | Hassan Kibirige | 19m |
plotnine implements the Grammar of Graphics in Python and shows concrete examples: a Palmer Penguins subset visualized with layered geoms to build a C‑plot… | ||
| From Data Confusion to Data Intelligence | Elaine McVey, David Meza | 51m |
Claims that executive hope for data vastly outpaces organizational support, and the fix is pragmatic: show don't tell, take the data and run, iterate to nail… | ||
| HTML and CSS for R Users | Albert Rapp | 17m |
Shows that a few literal HTML/CSS snippets unlock features in familiar R tools: span tags with style="color:#hex" lets ggtext color individual words in ggplot… | ||
| Siuba and duckdb: Analyzing Everything Everywhere All at Once | Michael Chow | 20m |
siuba provides a dplyr‑style Python API that generates SQL for duckdb via SQLAlchemy so the same verbs can target pandas, polars, parquet files and pins on… | ||
| dplyr 1.1.0 Features You Can't Live Without | Davis Vaughan | 05m |
dplyr 1.1.0 makes three concrete changes: case_match (casewin) accepts mixed RHS types so previous NA/type errors disappear; summarize gains per-operation .by… | ||
| {slushy}: A Bridge to the Future | Becca Krouse | 21m |
slushy is an R package that lets teams mimic locked "frozen" environments while staying on open R by combining renv with Posit Package Manager snapshots so a… | ||
| ShinyUiEditor: From Alpha to Powerful Shiny App Development Tool | Nick Strayer | 18m |
A drag‑and‑drop Shiny UI editor moves from alpha to usable: creates UI files via an RStudio addin or VSCode extension, writes a runnable template in seconds… | ||
| Large Language Models in RStudio | James Wade | 19m |
Shows how gptstudio and gpttools embed LLMs in RStudio with working add-ins: a chat UI, a custom Hadley Wickham–style system prompt, and a chat GPT with… | ||
| dbtplyr: Bringing Column-Name Contracts from R to dbt | Emily Riederer | 18m |
Ports dplyr’s select helpers (starts_with, ends_with, contains) into dbt via the dbtplyr package, exposing column-name contracts that let dbt macros loop over… | ||
| Magic with WebAssembly and webR | George Stagg | 19m |
TypeScript library exposes WebAssembly-built R running in a web worker and returns proxied R objects (S-expression ids) so JavaScript can grab 1729, invoke R… | ||
| Dynamic Interactions: webR to Empower Educators & Researchers with Interactive Quarto Docs | James Balamuta | 21m |
Demonstrates turning static Quarto HTML into browser-executable R by embedding webR (R compiled to WebAssembly) and using the quarto-webR extension. Workflow… | ||
| Speeding Up Plots in R/Shiny | Ryszard Szymański | 04m |
Slow plot rendering traces to three concrete causes and fixes: expensive data prep, naive plotting of millions of points, and library-level inefficiencies… | ||
| Shiny New Tools for Scaling your Shiny Apps | Joe Kirincic | 18m |
Shiny app moves plotting from server to browser by sending data to each client and rendering with DuckDB-WASM for in-browser SQL and Observable Plot.js for… | ||
| Shiny for Python Machine Learning Apps with pandas, scikit-learn and TensorFlow | Chelsea Parlett-Pelleriti | 21m |
Demonstrates building interactive ML front ends that wire directly to pandas scikit-learn TensorFlow, using Shiny for Python’s inferred reactivity to only… | ||
| The Power of Prototyping in R Shiny: Saving Millions by Building the Right Tool | Maria Grycuk | 19m |
Prototyping in Shiny claims to cut waste by shipping a focused MVP in weeks rather than months: teams build a prototype in three weeks, test with real data… | ||
| Scale Your Data Validation Workflow With {pointblank} and Posit Connect | Michael Garcia | 17m |
Claims a reproducible, end-to-end data validation pipeline that scales from single tables to whole study schemas by extending {pointblank} and automating with… | ||
| What I Wish I Knew Before Becoming a Data Scientist | Kaitlin Bustos | 05m |
Career advice: success is not a steady climb but a series of peaks and valleys, so expect setbacks and plan for changing goals and role responsibilities… | ||
| Thanks, I Made It with Quartodoc | Isabel Zimmerman | 18m |
Quartodoc automatically generates Python function reference pages as Quarto Markdown files, replicating pkgdown’s R-style index/reference/articles layout. It… | ||
| Open Source Property Assessment: Tidymodels to Allocate $16B in Property Taxes | Nicole Jardine, Dan Snow | 19m |
The Cook County Assessor's Office replaces a 50,000‑line SPSS regime with R and tidymodels plus LightGBM, publishing the full pipeline and data in an… | ||
| Shiny Developer Secrets: Insights From Over 1200 Applicants and What You MUST Know to Shine | Vedha Viyash | 05m |
Over 1,200 applicants apply for the R/Shiny developer role and the team hires over 30, yielding concrete patterns about skills gaps. The Future Forests app… | ||
| How Data Scientists Broke A/B Testing (And How We Can Fix It) | Carl Vogel | 18m |
A/B testing practices cause misalignment by optimizing for statistical guarantees instead of business decisions; the talk argues for using non-inferiority… | ||
| CI/CD Pipelines - Oh, the Places You'll Go! | Trevor Nederlof | 05m |
Concrete CI/CD setup for Shiny apps: a small bug is caught by automated tests that record UI behavior, shinytest2 runs in a pipeline that uses GitHub Actions… | ||
| Getting the Most Out of Git | Colin S Gillespie | 21m |
Argues for a simple GitHub workflow for most projects (claims 99% of teams don’t need complex branching), recommends protect main branch and basic CI that just… | ||
| Small Package, Broad Impact: How I Discovered the Ultimate New Hire Hack | Trang Le | 16m |
Built two internal R packages (one theming package and a smaller palette/GGplot helper) that standardize BMS visuals and are still heavily used; key tools are… | ||
| The Road to Easier Shiny App Deployments | Liam Kalita | 19m |
Lists concrete checks and fixes for failed Shiny deployments: examine deployment logs (Posit Connect logs tab or server /var/log), remove hardcoded secrets and… | ||
| Motley Crews: Collaborating with Quarto | Susan McMillan, Wyl Schuth, Michael Zenz | 22m |
Adoption of Quarto and RStudio unifies query-to-publication: SQL queries (Hyperion, Toad), R analysis, and narrative live in one source file and publish to the… | ||
| Diversify Your Career with Shiny for Python | Gordon Shotwell | 18m |
Claims Shiny for Python gives R users a practical niche: easier deployment because apps run as standard ASGI Python services, same reactivity model so existing… | ||
| Field Guide to Writing Your First R Package | Fonti Kar | 11m |
A biologist’s approach turns private analysis scripts into shareable R packages using usethis and devtools, GitHub for hosting, and testthat for tests; the… | ||
| Data Visualization with Seaborn | Michael Waskom | 21m |
Seaborn unveils a ground-up objects interface that builds plots by composing marks stat moves and scales into layers, with methods like plot.add, plot.scale… | ||
| AI and Shiny for Python: Unlocking New Possibilities | Winston Chang | 18m |
Shows a working Shiny for Python workflow that uses the chat_stream package to call OpenAI, returning structured JSON (recipes) from messy webpages and letting… | ||
| Reliable Maintenance of Machine Learning Models | Julia Silge | 18m |
Explains that deployed models need ongoing checks of both software metrics (latency, uptime) and statistical metrics (accuracy, calibration), demonstrates… | ||
| What's New in the Torch Ecosystem | Daniel Falbel | 05m |
Torch is an R port of PyTorch with GPU acceleration, automatic differentiation, and standard layers and optimizers; a new free book Deep Learning and… | ||
| Why You Should Add Logging To Your Code (and make it more helpful) | Daren Eiri | 05m |
Simple plumber API divides a by b and demonstrates adding log4r info and warning messages (e.g., "attempting to divide 100 by 4" and "must supply numerator or… | ||
| The Need for Speed - AccelerateR-ing R Adoption in GSK | Ben Arancibia | 20m |
GSK decides in 2020 to make R the primary language for clinical reporting across a 900+ person Biostatistics organization and finds classroom training (about… | ||
| Building a Flexible, Scaleable Self-Serve Reporting System with Shiny | Natalie O'Shea | 20m |
A Shiny app called betterup insights pulls live data from the company database, renders professional charts, and injects metrics and images into preformatted… | ||
| Why You Should Stop Networking and Start Making Friends | Libby Heeren | 05m |
Argues for abandoning transactional networking and shows concrete tactics that build real connections: met 100 people one-on-one in four months by treating… | ||
| epoxy: Super Glue for Data-driven Reports and Shiny Apps | Garrick Aden-Buie | 19m |
epoxy is an R package that turns glue-style braces into templating superpowers for R Markdown, Quarto, and Shiny by adding inline transformers for formatting… | ||
| Using R to develop production modeling workflows at Mayo Clinic | Brendan Broderick | 21m |
A production pipeline predicts which ICU discharges will need the Respiratory Care Unit and runs at Mayo Clinic, using an targets pipeline to avoid full… | ||
| Oops I'm a Manager - On More Effective 1-on-1 Meetings | Andrew Holz | 19m |
Routine 1-on-1s become a practical system: 5-minute topic scorecard (pick a few focused items before the meeting), a shared running doc with dated notes and… | ||
| Insights in 5-D! (Using magic small-multiples layouts) | Matt Dzugan | 06m |
Layout of small multiples changes what patterns are visible: a computed grid that maps facets to coordinates reveals spatial and demographic structure that… | ||
| Package Management for Data Scientists | Tyler Finethy | 12m |
Compares concrete failure modes and fixes for R and Python: version conflicts illustrated by Rcpp 1.0.6 vs 1.0.7, and missing system libraries like OpenSSL/GCC… | ||
| Adding a Touch of glitr: Developing a Package of Themes on Top of ggplot | Aaron Chafetz, Karishma Srikanth | 14m |
USAID builds glitr on ggplot2 with extrafont and grDevices, adds a one-line SI_style theme plus nine variants, a scale_fill_SI palette and SI_style_grid, and… | ||
| Hitting the Target(s) of Data Orchestration | Alexandros Kouretsis | 19m |
Builds a reproducible pipeline that pulls sensitive clinical and genomic views from a secure data lake, writes public summaries to AWS S3 persistent storage… | ||
| Making a (Python) Web App is easy! | Marcos Huerta | 18m |
Builds a working QR‑code generator and a richer Semantic Emoji search, implemented three ways: six lines in Streamlit (very simple but limited layout), more… | ||
| How to Win Friends and Influence People (With Data) | Joe Powers | 20m |
Shows how sequential AB testing plus simulated trials and a scaffolded web app actually cut test duration at Intuit by 63% average time savings versus… | ||
| Using R, Python, and Cloud Infrastructure to Battle Aquatic Invasive Species | Uli Muellner, Nicholas Snellgrove | 20m |
Minnesota has ~18–24k registered water bodies, about 9,000 with inspection data and roughly 10% infested; the project stitches four models — a Python risk… | ||
| USGS R Package Development: 10-year Reflections | Laura DeCicco | 05m |
A USGS R package called dataRetrieval (first commits 2012) standardizes access to surface‑water gauge heights and discharge, groundwater well records… | ||
| Visualizing Data Analysis Pipelines with Pandas Tutor and Tidy Data Tutor | Sean Kross | 15m |
Interactive web tools Pandas Tutor and Tidy Data Tutor parse real pipelines (example: penguins dataset) and render concrete visualizations: select highlights… | ||
| Take it in Bits: Using R to Make Eviction Data Accessible to the Legal Aid Community | Logan Pratico | 19m |
Civil Court Data Initiative standardizes court records with R, SQL and AWS, linking RMarkdown with Amazon Athena and EC2 to auto-generate weekly eviction… | ||
| Becoming an R Package Author (or How I Got Rich Responding to GitHub Issues) | Matt Herman | 18m |
Argues that everyday R users can become package authors by starting with GitHub issues, then answering questions, submitting tiny bugfix PRs (one is 11 lines… | ||
| Coding Tools for Industry R&D – Development Lessons from an Analytical Lab | Camila Saez Cabezas | 05m |
Describes concrete development lessons from an analytical R&D lab: collect instrument metadata, shadow users as a detective to find pain points, map… | ||
| CRAN-ial Expansion: Taking Your R Package Development to New Frontiers with R-Universe | Mo Athanasia Mowinckel | 18m |
R-Universe becomes a private CRAN-like registry that builds binaries for Windows and Mac so large or niche packages install reliably without CRAN vetting; the… | ||
| The People of Posit: Bringing Personality to R Packages | JP Flores, Sarah Parker | 05m |
Argues that personal connections make R less intimidating and demonstrates how outreach translates to concrete outcomes: video interviews with local… | ||
| Side Effects of a Year of Blogging | Millie Symns | 17m |
Creates and publishes 12 monthly posts and a personal site using R and Posit products with Hugo + GitHub + Netlify, learning Git and web deployment by doing… | ||
| From Concept to Impact: Building and Launching Shiny Apps in the Workplace | Tiger Tang | 19m |
A practical playbook for turning internal needs into production Shiny apps: start by picking problems that cut repetitive work or help many colleagues… | ||
| 20 questions and AI chat bots | Winston Chang | 06m |
A small app wires two instances of chatstream built on Shiny for Python so one bot thinks of an object and the other asks, successfully playing 20 Questions by… | ||
| Developing a Prototyping Competency in a Statistical Science Organization | Daniel Woodie | 21m |
Argues that a deliberate prototyping competency speeds adoption and reduces risk by proving ideas fast; a two-person, scrappy team runs 2–3 projects at once… | ||
| How to Keep Your Data Science Meetup Sustainable | Ted Laderas | 18m |
Organizing burnout is framed as solvable with a clear formula: self-care + core group + welcoming that reduces planning load and redistributes work through… | ||
| Can I Have a Word? | Ellis Hughes | 17m |
gt gains an official docx output (added Aug 2022) via collaboration with Rich Iannone, so GT tables can be saved straight to Word documents instead of HTML… | ||
| Combining R and Python for the Belgian Justice Department | Thomas Michem | 19m |
Belgian justice runs a traffic‑fine monitor that combines R and Python: a Shiny dashboard deployed on Posit Connect shows traffic‑light status fed by a Python… | ||
| Open Source Solutions to Next-Generation Submissions, After 30 Years of Industry Experience | Mike K Smith | 18m |
Pharma is shifting submissions from static PDFs to interactive HTML submissions and web visualizations built with R, Quarto, webR, echarts (and sometimes… | ||
| Automating the Dutch National Flu Surveillance for Pandemic Preparedness | Patrick van den Berg | 16m |
Automates the Dutch national influenza surveillance by replacing a weekly two‑hour manual Control+Enter job with a reproducible, modular pipeline built in R… | ||
| Black Hair and Data Science Have More in Common Than You Think | Kari Jordan | 20m |
Argues that caring for Black hair and doing data science share concrete parallels and practical mappings rather than metaphors, shows a table linking Andre… | ||
| Democratizing Access to Education Data | Erika Tyagi | 19m |
The Urban Institute publishes the Education Data Portal: a harmonized one‑stop of nearly all major federal K–12 and college datasets with a language‑agnostic… | ||
| From Novices to Experts: Building a Community of Engaged R Users | Natalia Andriychuk | 16m |
Pfizer reports ~1,500 machines with R and a Microsoft Teams community of ~1,000; the R Center of Excellence establishes an internal SWAT team, creates 13… | ||
| Succeed in the Life Sciences with R/Python and the Cloud | Colby Ford | 20m |
Shows how to run R and Python at scale using Posit Workbench, how to provision IDEs on Azure ML and Databricks, and why a data lake-centric design with… | ||
| R! You Going?! | SherAaron Hurt | 20m |
Three practical takeaways: pick tools that you actually use daily and stick with them — she switches from Python to R over Python for daily tasks and uses R to… | ||
| Sustainable Growth of Global Communities: R-Ladies' Next Ten Years | Riva Quiroga | 19m |
R-Ladies grows from one meetup to 231 chapters and ~4,000 events by applying programming practices to community operations: modular teams, refactoring… | ||
| Teaching Data Science in Adverse Circumstances: Posit Cloud and Quarto to the Rescue | Aleksander Dietrichson | 17m |
Argues that curriculum redesign plus easy cloud tooling makes data science feasible under severe constraints: uses posit.cloud and Quarto free tiers to run R… | ||
| What an Early 2000s Reality Show Taught Me about File Management | Reiko Okamoto | 19m |
Home organization rules map to concrete file practices: use RStudio Projects so each project is self-contained and opens in a fresh R session with restored… | ||
| It's All About Perspective: Making a Case for Generative Art | Meghan Santiago Harris | 20m |
Generative art in R and Python becomes a deliberate practice that improves practical data skills by forcing iteration, function development, and clearer… | ||
| FOCAL Point: Utilizing Python, R, and Shiny to Capture, Process, and Visualize Motion | Justin Markel, Alyssa Burritt | 15m |
A golf R&D pipeline captures club motion with focal motion capture, producing about 40,000 data points per swing and a 75,000-swing archive; Python scripts… | ||
| Connect on Kubernetes: Content-level Containerization | E. David Aja | 19m |
Connect decouples publishing from runtime by running applications as containers on Kubernetes: Connect spawns pods via a launcher service that talks to the… | ||
| How the R for Data Science (R4DS) Online Learning Community Made Me a Better Student | Lydia Gibson | 11m |
Joined R4DS Slack in July 2021 and goes from zero R to a master’s-grad data scientist at Intel by using RStudio/Posit Cloud, R Markdown, ggplot2 and extension… | ||
| Validating and Testing R Dataframes with Pandera via reticulate | Niels Bantilan | 22m |
Shows that Pandera via reticulate validates R dataframes by calling Pandera schemas from R, using a conda env and reticulate to pass dataframes into Python and… | ||
| Commit to Change: How to Increase Accessibility in Your Favorite Open Source Projects | Rose Franzen | 19m |
Argues that accessibility must start upstream by removing barriers for disabled contributors and recommends concrete actions: add accessibility docs (status… | ||
| How You Get Value as a 1-Person Posit Connect Team | Sean Nguyen | 16m |
Sole developer at a 45‑person VC firm proves a 30‑day trial scales: installs Posit Connect on a Google Cloud VM, builds automated pipelines that run every two… | ||
| Solving a Secure Geocoding Problem (That Hardly Anybody Has) | Tesla DuBois | 20m |
Desktop GUI that geocodes patient addresses entirely on the local machine using shell, Docker, Postgres/PostGIS and Python, pulls county line files into a… | ||
| The 'I' in Team: Peer-to-Peer Best Practices for Growing Data Science Teams | Liz Roten | 18m |
Starts from a two-person R team and shows a real mishap: an internal counselor package update that changes font sizes in a ggplot2 theme, silently altering R… | ||
| How I Learned to Stop Worrying and Love Public Packages | Joe Roberts | 20m |
Compares CRAN/Bioconductor curation with PyPI permissiveness and shows concrete mitigations: use metrics like downloads, revision frequency and tests, run the… | ||
| You Can Lead a Horse to Water...Changing the Data Science Culture for Veterinary Scientists | Jill MacKay | 18m |
Edinburgh's vet school chronicles ten years of embedding practical data skills: formal R teaching in undergrad and postgrad curricula, a data methods club that… | ||
| Serenity Now, Productivity Later: Focus Your Project Stack with The Gonzalez Matrix | Patrick Tennant | 20m |
A simple claim: stop adding projects and prioritize by effort vs value using an adapted Eisenhower grid called the Gonzalez Matrix. Projects move to four… | ||
| How to Help Developers Make Apps Users Love | Michał Parkoła | 19m |
Appsilon presents a concrete process: an in-house Design Guide plus a simple Google Sheet planning and evaluation tool used in its third iteration across nine… | ||
| Data Science in Production: The Way to a Centralized Infrastructure | Oliver Bracht | 20m |
Covestro centralizes R and Python work with eoda and Posit into a replicable, staged platform: Posit Workbench on AWS with Kubernetes offhost sessions… | ||
| Matching Tools to Titans: Tailoring Posit Workbench for Every Cloud | James E. Blair | 18m |
Posit Workbench runs as isolated EC2 instances on AWS SageMaker so each user picks an instance type and a runaway job only restarts that session; SageMaker… | ||
| Using Data to Protect Traditional Lifeways | Angie Reed | 20m |
A tribal water program digitizes 15 years of field work: printing and scanning QR-coded bottle labels at ~134 sites May–Oct, logging chain-of-custody and… | ||
| nothing matches | ||