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

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

Feb 27, 2025

1h 9min

Quarto Shiny shinylive Coding Programming Tech Development Webdevelopment Softwareengineering Datascience MachineLearning Artificialintelligence Techcommunity Rstats Rladies Womenwhocode Whomenintech Womeninstem

video

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

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

In this inspiring talk, dive into the world of R in production with Hadley Wickham, Chief Scientist at Posit PBC (formerly RStudio). Explore the challenges and best practices for deploying R solutions in real-world production environments, from effective code structuring to ensuring scalability and reliability. Whether you're a seasoned data scientist or just beginning your journey with R, this event equips you with invaluable insights and actionable tips to drive impactful outcomes in your organization. Don't miss out on this engaging discussion! Material: - https://github.com/hadley/available-work - https://github.com/hadley/web-scraping 0:00 Welcome & R-Ladies Introduction by Dorota Rizik (R-Ladies NYC) 6:28 Introduction and Dr. Wickham's Talk 53:46 Q&A Have a look at our WebSite for more insights about our events: https://rladiesrome.org

Hadley Wickham

Jun 15, 2024

1h 22min

rstudio Rstats Coding Programming

video

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

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

R-Ladies Gaborone and R-Ladies RTP co-host E. David Aja as he demonstrates tips, tricks, tweaks, and some hacks for building data science dev environments that you won't be afraid to come back to in a year. Slides link https://rstats-wtf.github.io/wtf-personal-radmin-slides/#/title-slide What They Forgot to Teach You About R https://rstats.wtf/ Speaker E. David Aja : https://www.linkedin.com/in/edavidaja/ R-Ladies Gaborone: https://www.meetup.com/rladies-gaborone/ R-Ladies RTP: https://www.meetup.com/r-ladies-rtp/ Extras --------------------------------------------------------------------------------------------------------------------- Customising your .rprofile https://kanto.rbind.io/blog/customising-your-r-profile/ Locating R and R Adjacent Software and Configuration Files https://www.pipinghotdata.com/posts/2022-06-02-locating-r-and-r-adjacent-software-and-configuration-files/ CRAN-ial Expansion: Taking Your R Package Development to New Frontiers with R-Universe - posit::conf https://www.youtube.com/watch?v=XDiyAvpo2uk You should be using renv | RStudio (2022) : https://www.youtube.com/watch?v=GwVx_pf2uz4 Featured music https://open.spotify.com/artist/0cmWgDlu9CwTgxPhf403hb

Jun 10, 2024

2h 54min

renv rstudio Rstats Coding Programming

video

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

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

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

Mar 31, 2024

1h 5min

Quarto rstudio Rstats Coding Programming

video

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

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

Isabel Zimmerman

Mar 24, 2024

1h 5min

Quarto rstudio Coding Programming Tech Development Webdevelopment Softwareengineering Datascience MachineLearning Artificialintelligence Techcommunity Rstats Rladies Womenwhocode Whomenintech Womeninstem

video

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

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

Dec 15, 2023

15 min

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

video

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

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

Dec 15, 2023

11 min

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

video

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

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

Welcome to R-Ladies Rome Chapter! What's new in the tidyverse - Speaker: Isabella Velasquez In this video, Isabella will tell you about What’s new in the tidyverse, a suite of packages that’s revolutionized data wrangling, visualization, and analysis. Recently, Tidyverse has undergone some changes and updates to make it even more user-friendly and powerful. The changes to Tidyverse include new packages, updates to existing ones, and improvements in performance and functionality. Some of the most notable updates include enhancements to package dependencies, performance improvements for specific functions such as group_by(), and the addition of new packages such as ggplot2, readr and dplyr. You can find the latest news here: https://bit.ly/3z9BcMR To follow Isabella Velásquez: Twitter: twitter.com/ivelasq3 LinkedIn: linkedin.com/in/ivelasq/ Materials: GitHub repo: https://bit.ly/3LHVSmS Website: https://bit.ly/3M5gE03 The tidyverse blog: https://www.tidyverse.org/blog/

Mar 24, 2023

1h 44min

dplyr ggplot2 readr tidyverse tidyverse.org Rstats Coding Programming