Programming

R-Ladies Rome (English) - Interactive R, Python, and Shiny in the Browser with Quarto and Shinylive

In this session, Isabella Velásquez walks us through Quarto Live and Shinylive, powerful tools that allow us to create interactive R, Python, and Shiny applications without a server. These technologies make it easier than ever to share dynamic, engaging data science projects directly in the browser. What You’ll Learn ️ How Quarto Live brings interactive code to static documents ️ How Shinylive allows Shiny apps to run entirely in the browser ️ Practical use cases for data science, education, and collaboration This talk is ideal for data scientists, educators, and open-source enthusiasts who want to make their work more interactive and accessible. To further explore the subject, we recommend visiting the presentation of the talk : https://ivelasq.github.io/2025-02-21_r-python-shiny-in-the-browser More about the Speaker: - https://www.linkedin.com/in/ivelasq/ 0:00 R-Ladies Rome Chapter Intro 5:00 Isabella's Talk Please visit: https://rladiesrome.org

R-Ladies Rome(English) - Extending the data science workflow: {vetiver} and {pins}- Isabel Zimmerman

In this video, Isabel Zimmerman goes through the fundamental aspects of machine learning operations (MLOps) tasks, bridging the gap between data analysis and model deployment. While data practitioners excel in data analysis and model development, there's often a significant gap in understanding tasks beyond the conventional data science workflow. You'll explore crucial MLOps concepts, such as deploying models as API endpoints and monitoring model decay, while leveraging the powerful capabilities of the vetiver and pins packages. Material: - presentation: https://www.isabelizimm.me/talk-extending-ds-workflow-rladies/ - RStudioConf2022 talk: https://www.isabelizimm.me/talks/rstudioconf2022/ - Vetiver website: https://vetiver.rstudio.com/ 0:00 Welcome & R-Ladies Rome Chapter Introduction 0:04:45 Slido Pools 0:10:15 Talk Intro 0:10:56 Isalbel's Talk 0:47:53 Hands-on session 1:02:20 Q&A Have a look at our WebSite for more insights about our events: https://rladiesrome.quarto.pub/website/talks/

Isabel Zimmerman

Small Package, Broad Impact: How I Discovered the Ultimate New Hire Hack - posit::conf(2023)

Presented by Trang Le Onboarding new hires can be a challenging process, but taking a problem-focused approach can make it more meaningful and rewarding. In this talk, I will share how I discovered the ultimate new hire hack by creating two small packages that gave me the confidence I needed when I started at BMS. Through building these packages, I not only learned R things like using bslib and making font files available for published dashboards, but also gained a deep understanding of my company's internal systems and workflows, and connected with my team via lots of questions. The resulting packages are still heavily used today. Join me to discover how small packages can have a broad impact and what hiring managers can do to help. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference. -------------------------- Talk Track: Developing your skillset; building your career. Session Code: TALK-1112

bslib Humans Programming Rstudio Data Science Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Python Ml

Package Management for Data Scientists - posit::conf(2023)

Presented by Tyler Finethy In my talk, "Package Management for Data Scientists," we will discuss software dependencies for R and Python and the common issues faced during package installations. I will begin with an overview of package management, highlighting its crucial role in data science. We'll then focus on practical strategies to prevent dependency errors and address effective troubleshooting when these problems occur. Lastly, we will look towards the future, discussing potential package management improvements, focusing on reproducibility and accessibility for those new to the field. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference. -------------------------- Talk Track: Managing packages. Session Code: TALK-1081

Programming Python Databricks Data Science Rstudio Machine Learning Stats Tidyverse Data Visualization Data Viz Ggplot Technology Coding Connect Shiny Rmarkdown Package Manager CRAN Interoperability Serious Data Science Dplyr Forcats Ggplot2 Tibble Readr Stringr Tidyr Purrr Github Data Wrangling Tidy Data Odbc Rayshader Plumber Blogdown Gt Lazy Evaluation Tidymodels Statistics Debugging Programming Education RStats Open Source Oss Quarto Posit Ml

Programming

Blog Posts tagged Programming#

Rapp 0.3.0

Resources tagged Programming#

R-Ladies Rome (English) - Interactive R, Python, and Shiny in the Browser with Quarto and Shinylive

R-Ladies Rome (English) - R in Production - Hadley Wickham

R-Ladies Gaborone & R-Ladies RTP (English) - Personal R Administration

R-Ladies Rome (English) - Extending the data science workflow: {vetiver} and {pins}

R-Ladies Rome(English) - Extending the data science workflow: {vetiver} and {pins}- Isabel Zimmerman

Small Package, Broad Impact: How I Discovered the Ultimate New Hire Hack - posit::conf(2023)

Package Management for Data Scientists - posit::conf(2023)

R-Ladies Rome (English) - What's new in the tidyverse - Isabella Velasquez