Has anyone compared uvr, rv, and renv? #RStats
Umair Durrani
mastodon 4.7.3Data Scientist at Presage Group. Passionate about transportation safety.
Quarto fenced divs, custom layout, and SCSS can make pretty nice websites.
Website: https://quarto-bighead.netlify.app/
Source: https://github.com/durraniu/quarto_bighead
{brandthis} is ready to install. Try it and let me know if anything breaks: https://github.com/durraniu/brandthis
Here's an example site that uses the generated _brand.yml and color palettes: https://dru.quarto.pub/brandthis-demo/
#RStats
My R+AI Conf talk is now available on YouTube: https://youtu.be/828KuEORQdg?si=_XdvWTAFUBN18M63
I talked about my R package {brandthis} that helps you getting started with theming your quarto outputs and shiny apps by quickly generating brand.yml files and color palettes for R and Python plots
Gearing up for the Traffic Flow Dynamics book club with a work-in-progress carfollowing Python package and reproducing figures from the book.
Interested in participating in the book club? Register here: https://forms.gle/g3ZmqLH4sgZqqhFd9
The slides for my R+AI conference talk are available here: https://dru.quarto.pub/brandthis/#/title-slide
#RStats
createBranding app is now available with the {brandthis} R package: https://github.com/durraniu/brandthis
Use LLM to generate brand.yml -> Review and iterate on results -> Create color palettes for plots
Credit goes to the brand.yml app in {bslib}.
@haraldkliems@fosstodon.org Such a cool project! Thanks for sharing the source and your thoughts in a blog post. Very useful.
Hey folks who work/study in any field of transportation, would you be interested in an online community that hosts book clubs, help channels, contests, etc.? What would you like to see in it? #RStats #transportation
@AlSweigart@mastodon.social Beautiful site! Can you tell what web framework is used to make it?
What are your favorite free/paid resources for web app development with react? My only experience is with developing shiny apps in #RStats. #programming
TSLC is an online platform for anyone working/studying in any aspect of transportation. Inspired by DSLC, TSLC will host book clubs, help channels, presentations, and projects. Traffic Flow Dynamics is our first book club. Register here: https://forms.gle/MpURLJVbxRQ6xZ5Z7
#transportation
Anyone interested in reading these books in a combined book club:
1. Mathematics for Machine Learning
2. ML with PyTorch & Scikit-Learn
Here's a rough reading plan: https://docs.google.com/spreadsheets/d/1L4-IY7AGjUhJdmr-kwxCUjgECpmUFSamNaUPq1jBcwg/edit?usp=sharing
Book club Traffic Flow Dynamics had our first meeting today. Thanks to everyone who attended.
Want to join the book club at Transportation Science Learning Community? Join the Pumble workspace: https://invite.pumble.com/2bn1y5k3vdvirqcxvz
Are you a proponent of cities investing in the infrastructure for self-driving cars? Or would you propose public transit investments instead? Which camp are you in? Is there a middle ground?
TSLC is planning to host a discussion panel around the questions above and more. Share your thoughts and let me know if you'd like to participate.