No Clocks
LandRise (LightPath)
Testing Legacy Shiny Apps: Start with Behavior, Not Code
Adding acceptance tests first makes refactoring safer.
R-spatial beyond sf – geocompx
Specialized R packages for spatial cross-validation: sperrorest and blockCV – geocompx
With help from LLMs (e.g. Deepseek) ! an R function that filters a list of vectors using indices from the unlisted data
Upon users' query, language learning models like ChatGPT and Deepseek can generate useful programming codes having been trained on many co...
Position Wiki
Positron, a next-generation data science IDE
Positron Assistant – Positron
Tidy RAG in R with ragnar
Retrieval augmented generation in R using the ragnar package. Demonstration: scraping text from relevant links on a website and using RAG to ask about a university's grant funding.
AI
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.
GADM
Changelog
https://www.chenghaozhu.net/posts/en/2019-03-25/
Building a webapp for data collection & visualization using R Shiny
This is a tutorial post about building a webapp with user form and leaflet map visualization using R Shiny. The webapp I built aims to collect crowdsourced data of how sustainable are the eateries …
shiny-examples/063-superzip-example at main · rstudio/shiny-examples
Contribute to rstudio/shiny-examples development by creating an account on GitHub.
Shiny
Shiny is a package that makes it easy to create interactive web apps using R and Python.
Using Leaflet with Shiny
Extending Leaflet
MapX
MapX, an online platform for managing geospatial data on natural resources
Response Parsers · Issue #64 · jonthegeek/beekeeper
Paths contain responses. When 200 responses are available, use those to define a parser function. Specs might (probably will) be repeated, so refine to just one copy of each. Names will have to be ...
Tests via examples · Issue #70 · jonthegeek/beekeeper
Use response examples to build "mocked" responses for use in tests. While implementing this I'll have to figure out what to do about args. Some set of standard args (by type) that I encourage users...
Vignette: Response Tidiers · Issue #81 · jonthegeek/beekeeper
So far I've had to do manual work to cleanly parse responses. Document that process. It's POSSIBLE the result of this ticket will actually be functionality to implement this automatically, but righ...
proxy: Distance and Similarity Measures
Provides an extensible framework for the efficient calculation of auto- and cross-proximities, along with implementations of the most popular ones.
LightBox Zoning API | Developer Portal | SmartFabric | CRE
Enhance your CRE and development business with a lightweight Zoning API. Access robust Zoning information in our comprehensive developer portal to maximize ROI
APIs.io - Lightbox Zoning Api
Real Estate & Property Data API | RentCast
Power your real estate applications with our property data API, which gives you instant access to nationwide property and rental data in the US.
APIs.io - Network Search
APIs.json - Home
Depot
Exponentially faster builds for everyone.