From e2fe084598a0b5ecf8117ee0533b80857a939cbe Mon Sep 17 00:00:00 2001 From: Matt McKay Date: Thu, 13 Aug 2026 10:53:01 +1000 Subject: [PATCH] Repoint the mle.md download link to data-lectures MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit `mle.md:132` linked the fp.dta download at python.quantecon.org/_static/lecture_specific/mle/fp.dta — an asset served by lecture-python.myst's published site, not by this repo. That file is being migrated to QuantEcon/data-lectures and will be deleted from lecture-python.myst once its repoint publishes, at which point this link 404s. This repo runs a daily sphinx linkcheck, so it would go red within 24 hours of that publish. Repointing now closes the window. The bytes are identical — the migrated copy, the published-site copy and the archived copy this lecture's code cell reads all hash to de99b9c0de6fb08cb732e306971ba87a308c5c4ef8ca3ae23fbbb50eabdecd8d — so nothing a reader downloads changes. The link also named `mle/fp.dta` inline, a path that does not exist in data-lectures' flat published tree, so the filename in the sentence is corrected alongside the href. NOT changed: the code read at mle.md:139, which fetches the archived QuantEcon/lecture-python blob. That URL still resolves (archived repos serve raw content indefinitely) and is unaffected by this migration. Consolidating it onto data-lectures would be a sensible follow-up, but it is a change to what this lecture executes and is left as the maintainers' call. See QuantEcon/data-lectures#79 and QuantEcon/workspace-lectures#39. Co-Authored-By: Claude Opus 5 (1M context) --- lectures/mle.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lectures/mle.md b/lectures/mle.md index 4e07b57..8a4d19f 100644 --- a/lectures/mle.md +++ b/lectures/mle.md @@ -129,7 +129,7 @@ Let's have a look at the distribution of the data we'll be working with in this Treisman's main source of data is *Forbes'* annual rankings of billionaires and their estimated net worth. -The dataset `mle/fp.dta` can be downloaded from [here](https://python.quantecon.org/_static/lecture_specific/mle/fp.dta) +The dataset `fp.dta` can be downloaded from [here](https://github.com/QuantEcon/data-lectures/raw/main/lectures/fp.dta) or its [AER page](https://www.aeaweb.org/articles?id=10.1257/aer.p20161068). ```{code-cell} python3