02-AREAS

02-AREAS

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Themeable HTML components — bs_dependency
Themeable HTML components — bs_dependency
Themeable HTML components use Sass to generate CSS rules from Bootstrap Sass variables, functions, and/or mixins (i.e., stuff inside of theme). bs_dependencies() makes it a bit easier to create themeable components by compiling sass::sass() (input) together with Bootstrap Sass inside of a theme, and packaging up the result into an htmltools::htmlDependency(). Themable components can also be dynamically themed inside of Shiny (i.e., they may be themed in 'real-time' via bs_themer(), and more generally, update their styles in response to shiny::session's setCurrentTheme() method). Dynamically themeable components provide a "recipe" (i.e., a function) to bs_dependency_defer(), describing how to generate new CSS stylesheet(s) from a new theme. This function is called when the HTML page is first rendered, and may be invoked again with a new theme whenever shiny::session's setCurrentTheme() is called.
·rstudio.github.io·
Themeable HTML components — bs_dependency
Audit Shiny apps in few steps
Audit Shiny apps in few steps
Audit your Shiny apps at each commit. Multiple levels of testings are offered: startup and crash tests, performance tests (load test and global code profiling), reactivity audit as well as output tests. All results are gathered in an HTML report uploaded and available to everyone on any CI/CD plaform or RStudio Connect.
·opensource.nibr.com·
Audit Shiny apps in few steps
Master Shiny Apps: Complete R Web Development Guide
Master Shiny Apps: Complete R Web Development Guide
Master Shiny development with our comprehensive learning path covering fundamentals, UI design, server logic, advanced concepts, and production deployment. Transform from R user to professional web app developer through hands-on tutorials and real-world projects.
·datanovia.com·
Master Shiny Apps: Complete R Web Development Guide
Shiny Reactive Programming: Master Advanced Reactive Patterns
Shiny Reactive Programming: Master Advanced Reactive Patterns
Master Shiny’s reactive programming model with comprehensive coverage of reactive expressions, observers, event handling, and advanced patterns. Learn to build efficient, dynamic applications with proper reactive design.
·datanovia.com·
Shiny Reactive Programming: Master Advanced Reactive Patterns
"📁" U+1F4C1: File Folder (Unicode Character)
"📁" U+1F4C1: File Folder (Unicode Character)
The unicode character U+1F4C1 (📁) is named "File Folder" and belongs to the Miscellaneous Symbols and Pictographs block. It is HTML encoded as 📁.
·unicodeplus.com·
"📁" U+1F4C1: File Folder (Unicode Character)
41. Beast Mode V3
41. Beast Mode V3
41. Beast Mode V3. GitHub Gist: instantly share code, notes, and snippets.
·gist.github.com·
41. Beast Mode V3
Resident Portal
Resident Portal
·harborgroupmanagement.mriresidentconnect.com·
Resident Portal
Epic AI Pro
Epic AI Pro
Learn the principles and practices for building next-generation applications powered by AI and structured for context protocols like MCP.
·epicai.pro·
Epic AI Pro
MCP-UI Playground
MCP-UI Playground
MCP-UI Playground enables you to experiment with your MCP-UI servers
·scira-mcp-chat-git-main-idosals-projects.vercel.app·
MCP-UI Playground
Shiny Packaging Custom JS
Shiny Packaging Custom JS
Shiny is a package that makes it easy to create interactive web apps using R and Python.
·shiny.posit.co·
Shiny Packaging Custom JS
Shiny Custom Input Bindings
Shiny Custom Input Bindings
Shiny is a package that makes it easy to create interactive web apps using R and Python.
·shiny.posit.co·
Shiny Custom Input Bindings
Shiny Sending Messages
Shiny Sending Messages
Shiny is a package that makes it easy to create interactive web apps using R and Python.
·shiny.posit.co·
Shiny Sending Messages
Shiny Selectize Input
Shiny Selectize Input
Shiny is a package that makes it easy to create interactive web apps using R and Python.
·shiny.posit.co·
Shiny Selectize Input
Introducing fodr: a package for French open data in R
Introducing fodr: a package for French open data in R
Nowadays, more and more government organisations subscribe to the open data movement and some have done so in France, in the hopes that new services or insights would come from the analysis of this data.
·tutuchan.github.io·
Introducing fodr: a package for French open data in R
Cursor – Working with Context
Cursor – Working with Context
How to work with context in Cursor
Intent context defines what the user wants to get out of the model. For example, a system prompt usually serves as high-level instructions for how the user wants the model to behave. Most of the “prompting” done in Cursor is intent context. “Turn that button from blue to green” is an example of stated intent; it is prescriptive.
State context describes the state of the current world. Providing Cursor with error messages, console logs, images, and chunks of code are examples of context related to state. It is descriptive, not prescriptive.
Together, these two types of context work in harmony by describing the current state and desired future state, enabling Cursor to make useful coding suggestions.
·docs.cursor.com·
Cursor – Working with Context
PostGIS 3.5.4dev Manual
PostGIS 3.5.4dev Manual
PostGIS is an extension to the PostgreSQL object-relational database system which allows GIS (Geographic Information Systems) objects to be stored in the database. PostGIS includes support for GiST-based R-Tree spatial indexes, and functions for analysis and processing of GIS objects. This is the manual for version 3.5.4dev This work is licensed under a Creative Commons Attribution-Share Alike 3.0 License. Feel free to use this material any way you like, but we ask that you attribute credit to the PostGIS Project and wherever possible, a link back to https://postgis.net.
·postgis.net·
PostGIS 3.5.4dev Manual
Cursor Docs
Cursor Docs
Learn about Cursor and how to get started
·docs.cursor.com·
Cursor Docs
Enterprise UI Design: Professional Bootstrap 5 for Shiny Apps
Enterprise UI Design: Professional Bootstrap 5 for Shiny Apps
Master enterprise-grade UI/UX design for Shiny applications using Bootstrap 5, bslib theming, and professional design systems. Learn to create accessible, responsive interfaces that meet corporate standards for biostatistics and clinical research applications.
·datanovia.com·
Enterprise UI Design: Professional Bootstrap 5 for Shiny Apps