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Add data and scripts #4
Description
Activity
Status — 2026-07-16
This issue is the Feb 2025 repoint that never happened, and it is finally moving. Flagging it here because the work is being executed under the consolidation project (QuantEcon/meta#336) rather than directly against this checklist.
- The static data migrated here in Feb 2025 is now in the published tree — Flatten the consumer-keyed tree into the published layout #10 restructures the consumer-keyed layout (
lecture-python-intro/{static,dynamic}/) into a flatlectures/, withscripts/outside it. In review. - The first repoint is built — P1 pilot: add lingcod_msy_recovery.csv with its manifest #12 (lingcod + its manifest) → P1 pilot: read lingcod data from data-lectures lecture-python-intro#792 (the lecture reading it from here). This is pilot P1 of PLAN: pilot migration — one dataset per hosting pattern to validate the datasets design meta#338, and it is the first lecture anywhere to reference this repo.
- Three of the migrated files are dropped rather than repointed — the two World Bank CSVs return zero references org-wide, and
fig_3.odswas verified a pure format twin offig_3.xlsx(identical single sheet, identical 34×6 frame). Dropped in Flatten the consumer-keyed tree into the published layout #10 rather than promoted into the canonical namespace; recoverable from git history.
The remaining repoints (the 8 static intro files consumed by
long_run_growth,inflation_history,french_rev) follow the pilot — they are mechanical once P1 proves the convention, and are tracked as PLAN Phase 9.Roadmap:
PLAN.md. Session notes: QuantEcon/workspace-lectures#14.- The static data migrated here in Feb 2025 is now in the published tree — Flatten the consumer-keyed tree into the published layout #10 restructures the consumer-keyed layout (
Closing — the repoint this issue asked for in Feb 2025 is done, executed under QuantEcon/meta#336 rather than against this checklist. As of the 2026-08-31 audit run, all 40 static datasets consumed by the lecture series are migrated here and every consumer reads them from
data-lectures(https://quantecon.github.io/data-lectures/). The dynamic-data half of the original ask — scripts that refresh snapshots periodically — is Track E, tracked in PLAN.md Phase 5/8 and #14.
Hi @mmcky and @Jiarui-ZH,
In order to get all the data, let's plan to:
lecture-python-introrepo to thisdata/staticdata/dynamic. Also, to download and save this data, let's add all the relevant python scripts toscripts/folder. Later, we can use all these scripts to update the data periodically.lecture-python-intro@Jiarui-ZH Can you please help with these tasks? Thank you.