No Clocks

No Clocks

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Interface to the nanoarrow C Library
Interface to the nanoarrow C Library
Provides an R interface to the nanoarrow C library and the Apache Arrow application binary interface. Functions to import and export ArrowArray, ArrowSchema, and ArrowArrayStream C structures to and from R objects are provided alongside helpers to facilitate zero-copy data transfer among R bindings to libraries implementing the Arrow C data interface.
·arrow.apache.org·
Interface to the nanoarrow C Library
Overview - Agent Skills
Overview - Agent Skills
A simple, open format for giving agents new capabilities and expertise.
·agentskills.io·
Overview - Agent Skills
hypertidy/robstore
hypertidy/robstore
Contribute to hypertidy/robstore development by creating an account on GitHub.
·github.com·
hypertidy/robstore
Source a Script and Cache
Source a Script and Cache
Provides a function that behaves nearly as base::source() but implements a caching mechanism on disk, project based. It allows to quasi source() R scripts that gather data but can fail or consume to much time to respond even if nothing new is expected. It comes with tools to check and execute on demand or when cache is invalid the script.
sourcoise (pronouced [suʁsɔiz] as sourçoïse) is a package that provides tools for running an R script and caching the results (saving them to disk). The aim is to be able to execute (quickly) code that accesses files or an API and which, in the absence of updates, always produces the same result. When the API is likely to block (or if you don’t have an internet connection), this avoids failure of the rendering of a qmd document or a quarto website.
·xtimbeau.github.io·
Source a Script and Cache
source_https(): Sourcing an R Script from github over HTTPS
source_https(): Sourcing an R Script from github over HTTPS
The Objective I wanted to source R scripts hosted on my github repository for use in my blog (i.e. a github version of ?source). This would make it easier for anyone wishing to test out my code sni…
source_https(): Sourcing an R Script from github over HTTPS
·tonybreyal.wordpress.com·
source_https(): Sourcing an R Script from github over HTTPS
Vector Core Language (Vecorel)
Vector Core Language (Vecorel)
An ecosystem of data schema specifications and tools for more vector data interoperability - Vector Core Language (Vecorel)
·github.com·
Vector Core Language (Vecorel)
Vecorel
Vecorel
Vector Core Language (Vecorel) - A generic and extensible way to describe geospatial vector data, with schemas for validation.
The Vector Core Language (Vecorel) project is focused on making any kind of vector data (i.e. geospatial geometries with additional properties) openly available in a unified format on a global scale. We believe that the Vecorel specification is a foundational aspect of vector data interoperability which enables and accelerates additional layers of collaboration and detail via custom extensions.
Vecorel represents a generalization of specialized geospatial data formats, providing a comprehensive framework for describing diverse types of vector data beyond specific domains. The initiative fosters collaboration between academia, industry, NGOs, and governmental organizations toward creating shared global vector datasets that can be used across multiple domains and applications.
The Vecorel specification represents vector data in any kind of vector file format (currently GeoJSON & GeoParquet) in a standard way, with several optional extensions that specify additional attributes. The core data schema of Vecorel is quite simple - it is a set of definitions for attribute names and values. The number of attributes in the core is quite small by design. The idea is that most of the ‘interesting’ data about the vector features will be located in extensions.
There will likely be lots of different types of extensions: some that are generally accepted as the main way to do things in Vecorel and widely understood by tools and others that are very niche and not widely used but valuable to a small number of users (e.g. an extension specific to a company or organization to help them better validate their data).
·vecorel.org·
Vecorel
How Creating a Ubiquitous Language Ensures AI Builds What You Actually Want
How Creating a Ubiquitous Language Ensures AI Builds What You Actually Want
Recently, I read Marc Brooker’s blog post on Natural Language Programming, which I highly recommend to anyone wanting to understand how programming and software development are currently evolving. One analogy Marc uses to describe the future of programming particularly stuck with me: With a spec-driven development approach, it becomes possible to actively include computers in the discussion about the design of a software system.
·danielschleicher.com·
How Creating a Ubiquitous Language Ensures AI Builds What You Actually Want
Encyclopedia of Agentic Coding Patterns
Encyclopedia of Agentic Coding Patterns
A pattern language for building software with AI agents — from product judgment to agentic construction.
·aipatternbook.com·
Encyclopedia of Agentic Coding Patterns
AWS Builder Center
AWS Builder Center
Connect with builders who understand your journey. Share solutions, influence AWS product development, and access useful content that accelerates your growth. Your community starts here.
·builder.aws.com·
AWS Builder Center
ReDoc
ReDoc
·developer.ogc.org·
ReDoc
hadley/data-dict.yaml
hadley/data-dict.yaml
Contribute to hadley/data-dict.yaml development by creating an account on GitHub.
·github.com·
hadley/data-dict.yaml
Chapter 8: Geographic data I/O – visage
Chapter 8: Geographic data I/O – visage
Key Learnings from, and Solutions to the exercises in Chapter 8 of the book Geocomputation with R by Robin Lovelace, Jakub Nowosad and Jannes Muenchow.
·aditya-dahiya.github.io·
Chapter 8: Geographic data I/O – visage