#函式式程式設計
Live, measured metrics for the hashtag #函式式程式設計 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #函式式程式設計
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-24 21:59 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-24 21:59 UTCNo related tags with measured usage found for #函式式程式設計.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-24 21:59 UTCEverything below is measured over the latest 3 public posts (spanning ~2080 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (3)
Avg boosts / post: 0
Used together with
Top of the latest posts
🌘 程式設計中的球狀牛:簡化模型的迷思 ➤ 從簡化模型洞察程式設計的本質與困境 ✤ https://programmingsimplicity.substack.com/p/the-spherical-cows-of-programming 本文探討了程式設計中「球狀牛」模型的概念,也就是透過故意簡化問題來專注於特定面向的策略。作者PAUL TARVYDAS指出,雖然功能性程式設計(FP)常被視為解決CPU和記憶體問題的簡化模型,但它忽略了記憶體守恆這一關鍵設計變數。作者認
🌘 BQN 的「巨集」運用 •Decompose 剖析 ➤ 解構 BQN 函式,解鎖語法樹操作的無限可能 ✤ https://saltysylvi.github.io/blog/bqn-macros.html 本文深入探討 BQN 系統函數 •Decompose 的強大功能,它能分解函式,讓程式設計師存取函式的語法樹(AST),如同 Lisp 的巨集。作者展示如何利用 •Decompose 實現兩種進階應用:自訂訓練(train)語意,以更靈活地組合單子(monad)函式;
🌗 串接程式設計為何重要:深入解析 ➤ 重新認識函數組合的魅力 ✤ http://evincarofautumn.blogspot.com/2012/02/why-concatenative-programming-matters.html 本文探討了串接程式設計 (concatenative programming) 的概念,並與傳統的函式式程式設計進行比較。作者指出,串接程式設計的核心在於函數組合而非函數應用,並且辯駁了對其定義的誤解。文章深入探討了串接程式設計的運作方
#函式式程式設計 across platforms
every network with a public tag surfaceFollow #函式式程式設計 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/函式式程式設計