Enhancing R Programming Performance through Parallel and Asynchronous Techniques

An evolution of asynchronous programming techniques to boost your Shiny apps, how a puzzle from over a century ago could tip the scales for mathematics algorithms solvable in R, and solving the recent 2024 Advent of Code puzzles with data.table.


Episode Links

• This week's curator: Colin Fay - @colinfay@fosstodon.org [@_ColinFay]](https://twitter.com/_ColinFay) (X/Twitter) @colinfay.bsky.social
• Parallel and Asynchronous Programming in Shiny with future, promise, future_promise, and ExtendedTask
• Writing Signed Trinary: or, Back To the Four Weights Problem
• Advent of Code with data.table: Week One
• Entire issue available at rweekly.org/2024-W51

Supplement Resources

• Futureverse - A Unifying Parallelization Framework in R for Everyone https://www.futureverse.org/
• Non-blocking operations with ExtendedTask https://shiny.posit.co/r/articles/improve/nonblocking/
• Asynchronous Shiny apps with crew and mirai https://wlandau.github.io/crew/articles/shiny.html
• Bachet’s Four Weights Problem https://rworks.dev/posts/four-weights/
• Advent of Code 2024 https://adventofcode.com/
• Lime Bikes Summary Dashboard https://jokasan.github.io/Lime_Dash/

Chapter image credits

• Advent of Code https://thenewstack.io/advent-of-codes-programming-puzzles-set-new-global-record/

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Music credits powered by OCRemix

• J-Type - Tetris - Nostalvania - https://ocremix.org/remix/OCR04401
• I Just Skipped Time Yesterday - Puyo Puyo - Rexy - https://ocremix.org/remix/OCR03941