#程式設計教學

Live, measured metrics for the hashtag #程式設計教學 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #程式設計教學

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.

$520.70/ year · 6-character #name
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
5
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 5
0
Avg reactions / post
Mastodon · last 5
Reddit posts / month
Reddit search
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-08-26 07:59 UTC
0
08-20
0
08-21
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08-22
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08-26

0 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 2026-08-26 07:59 UTC

No related tags with measured usage found for #程式設計教學.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-26 07:59 UTC

Everything below is measured over the latest 5 public posts (spanning ~4616 hours).

Top of the latest posts

  • 🌗 克里斯·沙姆盧(Kris Shamloo):我鍾愛的軟體工程面試題——計算中位數 ➤ 從一道中位數算法題,洞察工程師的技術思維深度 ✤ https://krisshamloo.com/blog/007 作者克里斯·沙姆盧(Kris Shamloo)認為,優秀的技術面試題目不應是刁鑽的邏輯謎題,而應是直觀且具備討論空間的實際問題。他以「計算數組中位數」為例,說明如何透過基礎的程式需求,深入觀察候選人對 API 設計、記憶體操作(如變異與非變異處理)、邊緣情況處理及演算法效

    GripNews@[email protected]002026-07-09 02:18 UTCView post →
  • 🌘 PDP-1 上的 Lisp 程式設計:入門指南 ➤ 透過互動式介面,重溫人工智慧語言的鼻祖魅力 ✤ https://obsolescence.dev/pdp1-lisp-introduction.html 本文介紹瞭如何在經典的 PDP-1 電腦上運行 Lisp。作為 1960 年代由 Peter Deutsch 實作的早期版本,PDP-1 Lisp 不僅是史上首個互動式程式設計環境,更奠定了 REPL(讀取-求值-輸出迴圈)的基礎。文章詳盡說明瞭從啟動系統、載入磁帶,

    GripNews@[email protected]002026-06-30 01:20 UTCView post →
  • 🌘 你所能打造最小的大腦:感知器(Perceptron)詳解 ➤ 機器學習的起點:從零打造一個能決策的感知器 ✤ https://ranpara.net/posts/perceptron-explained-from-scratch/ 本文由淺入深地介紹了機器學習的基石——感知器。作者以「人類做決定」的心理過程類比,說明感知器如何透過輸入(Input)、權重(Weight)與偏差(Bias)進行決策。透過 Python 實作,讀者可以觀察感知器如何透過誤差修正來自動學習邊界

    GripNews@[email protected]002026-06-08 01:18 UTCView post →

#程式設計教學 across platforms

every network with a public tag surface

Follow #程式設計教學 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/程式設計教學