Distributing Extensions – Quarto

02-AREAS
Lua API Reference – Quarto
Lua Development – Quarto
Creating Shortcodes – Quarto
Shortcodes – Quarto
Guide – Quarto
Comprehensive guide to using Quarto. If you are just starting out, you may want to explore the tutorials to learn the basics.
Client for 'toxiproxy'
Create chaotic proxies for services to test behaviour of
your clients and servers in the face of unreliable network
connections. Provides a client to the 'toxiproxy' API.
OpenAPI Spec Generator - AI Prompt
Generates OpenAPI 3.1.0 specifications from diverse inputs. Free Programming & Code prompt for ChatGPT, Gemini, and Claude.
A personal history of the tidyverse
httr2 1.2.0 - Tidyverse
httr2 1.2.0 improves security for redacted headers, improves URL parsing and building, enhances debugging, and includes a bunch of other quality of life improvements.
Chapter 9 Use httptest2 | HTTP testing in R
In this chapter we aim at adding HTTP testing infrastructure to exemplighratia2 using httptest2. For this, we start from the initial state of exemplighratia2 again. Back to square one!...
Spatial Data Science
Welcome | R for Geographic Data Science
Introduction to Spatial Data Programming with R
Intro to GIS and Spatial Analysis
This is a compilation of lecture notes that accompany my Intro to GIS and Spatial Analysis course.
Welcome | Geocomputation with R
Welcome | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data.
compiler.pdf
Information technology — Programming languages — C.pdf
C language
The homepage of the C programming language
Creating OpenAPI from HTTP Traffic
Around this time of year we're thinking about things we're going to do differently, new practices we've been putting off for too long, and mistakes we want to avoid continuing into another year. For many of us in the API world, that is going to be switching to API Design-first, using standards like OpenAPI to plan and prototype the API long before any code is written.
More organizations are switching to API Design-first with OpenAPI, thanks to huge efforts from tooling vendors - from the bigge
jonluca/har-to-openapi: HAR to OpenAPI spec generator
HAR to OpenAPI spec generator
API Blueprint Specification | API Blueprint
Transform and Validate JSON and NDJSON
Compare with Tidyr’s Rectangling
R's C interface · Advanced R.
3 Objects, their modes and attributes – R Manuals :: An Introduction to R ¶
TaskHandlers.pdf
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.
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.
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.