No Clocks

No Clocks

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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
What is a Real Estate API? A Guide to Real Estate Data Integration
What is a Real Estate API? A Guide to Real Estate Data Integration
A real estate API (Application Programming Interface) is a digital tool that enables developers to access and integrate comprehensive real estate data into applications, websites, or services. These APIs provide real-time, on-demand information on properties and parcels.
·realestateapi.com·
What is a Real Estate API? A Guide to Real Estate Data Integration
Perform requests iteratively, generating new requests from previous responses — req_perform_iterative
Perform requests iteratively, generating new requests from previous responses — req_perform_iterative
req_perform_iterative() iteratively generates and performs requests, using a callback function, next_req, to define the next request based on the current request and response. You will probably want to pair it with an iteration helper and use a multi-response handler to process the result.
·httr2.r-lib.org·
Perform requests iteratively, generating new requests from previous responses — req_perform_iterative
Real Estate Api
Real Estate Api
In this video, I walk you through the real estate API available in the App Marketplace. I demonstrate how to install the app and navigate through its feature...
·youtube.com·
Real Estate Api
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
Quantitative Analysis and Visualization of LUCC
Quantitative Analysis and Visualization of LUCC
Tools for the analysis of land use and cover (LUC) time series. It includes support for loading spatiotemporal raster data and synthesized spatial plotting. Several LUC change (LUCC) metrics in regular or irregular time intervals can be extracted and visualized through one- and multistep sankey and chord diagrams. A complete intensity analysis according to Aldwaik and Pontius (2012) is implemented, including tools for the generation of standardized multilevel output graphics.
·reginalexavier.github.io·
Quantitative Analysis and Visualization of LUCC