QuantEcon / QuantEcon/lecture-python-programming.fr

Terminology: seven glossary rulings (from action-translation#78 + cours/chapitre)

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audit maintenance
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描述

Part of #40 (Phase 0). Decision item for @Honaminto.

Question. Six glossary questions were proposed in action-translation#78 and merged 2026-07-22 marked review needed; none has had a native speaker's ruling. Answering them improves all 27 lectures at once, including the 25 nobody has read yet, so this is the highest-leverage item in the project.

The terms. Please reply here with agree / prefer X for each (verbatim from #78, plus one deferred since):

  1. Standard normalloi normale centrée réduite (the conventional French statistical term). Neither model produced it — both said "loi normale standard". Is the conventional term what we want?
  2. f-string — keep in English (proposed), or chaînes f?
  3. Broadcasting — keep in English (proposed), or gloss as diffusion (broadcasting)?
  4. IndexIndice — confirm? Matches the existing Tail index → Indice de queue, though index is common in French tech writing.
  5. Tuple unpackingdéballage de tuple (proposed) or décompression de tuples?
  6. frame — not pinned; the models split trame / cadre and it is probably context-dependent (stack frame vs dataframe). Pin it at all, and if so to what?
  7. lectureglossary/fr.json v1.1 pins Cours; chapitre was raised and deliberately left to you in action-translation#241.

What happens with the answer. Each ruling is pinned in glossary/fr.json (a PR in action-translation, which we will open and link here), and the terminology flows into every future translation automatically.

Done when

  • each of the seven has a ruling on this issue
  • the glossary PR is merged and linked

贡献指南

这个仓库没有索引到贡献指南

从这里开始

  1. 先读完整个 Issue,再读项目的贡献指南。
  2. 在 Issue 下留言说明你要接手 —— 这能避免两个人做同样的事。
  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

调研方向

先从此 issue 中的七个术语问题开始,然后查看链接的 action-translation PR #78 和 #241,以及 glossary/fr.json 参考。每个术语都有明确裁定,且由此产生的 glossary PR 已合并并链接到此处时,工作即完成。

由索引模型根据 Issue 内容生成。

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