Delete committed dataset orphans (Track X)

[mmcky]

Deletes nine committed files that no lecture in this edition reads: the pandas_panel trio (countries.csv, employ.csv, realwage.csv — pandas_panel.md reads data-lectures), pandas/data/ticker_data.csv (unreferenced), pandas/data/test_pwt.csv (the copy left behind by the Track D repoint — QuantEcon/workspace-lectures#54's row for this edition), numbers.txt and us_cities.txt (written by %%file / %%writefile), and both test_table.csv copies — unlike the English repo, this edition's exercise prose links to the English repo's python_advanced_features/test_table.csv URL, so its own copies are orphans.

Translations sit outside the data-lectures audit's scanned set, so this is the translation half of the orphan sweep: the same files the English repo deletes in its PR of the same title, verified here file by file on 2026-09-01 — every lecture that uses these datasets reads them from QuantEcon/data-lectures, and the rest are written by the lectures themselves with %%file / %%writefile before being read. The translation sync is .md-only, so nothing will re-add them.

Published surface and settle. All nine serve at 200 on quantecon.github.io/lecture-python-programming.zh-cn/ today. This repo publishes on a publish* tag and has no _build/html prune, so they clear on the settle policy — next Monday clean rebuild, then the next publish. That publish is the one QuantEcon/workspace-lectures#54 already asks for (it also refreshes the jax install cell on the rendered pages), so merging this and tagging clears both at once.

Rows for QuantEcon/workspace-lectures#40 (published URL, measured today with a 200 page control and a 404 never-existed control on the same host; expect 404 after the settle):

path	today
/_static/lecture_specific/pandas_panel/countries.csv	200, 49,605 B
/_static/lecture_specific/pandas_panel/employ.csv	200, 1,725,234 B
/_static/lecture_specific/pandas_panel/realwage.csv	200, 121,589 B
/_static/lecture_specific/pandas/data/ticker_data.csv	200, 35,905 B
/_static/lecture_specific/pandas/data/test_pwt.csv	200, 793 B
/_static/lecture_specific/python_advanced_features/numbers.txt	200, 16 B
/_static/lecture_specific/python_advanced_features/test_table.csv	200, 377,272 B
/_static/lecture_specific/python_foundations/test_table.csv	200, 377,272 B
/_static/lecture_specific/python_foundations/us_cities.txt	200, 169 B

Deletion-time reader sweep (2026-09-01). Authenticated tarball-and-grep pass over 407 repositories: all 283 QuantEcon org repos (70 private, 26 archived; numfocus, quantecon-book-dp and test-cli are empty and unfetchable) plus 130 forks of the six holding repos (2 returned 404 and are recorded as not-swept rather than clean). Matched by basename, not URL, with each hit's three preceding lines folded in because URLs get split across source lines. Controls fired in the same pass: a never-existing basename returned 0 hits and 0 copies, and both known readers were found — the English python_advanced_features.md exercise link to test_table.csv, and devopseng99/project.lecture-wasm's runtime fetch of intro's graph.txt. Result: no repository reads any path this PR deletes. Every other co-occurrence of these basenames is a %%file embed, prose, a .gitignore line, or review text; the pre-MyST master/source/… reads in old course repos have been dead since the MyST migration and are unaffected.

Part of the Track X orphan sweep, QuantEcon/workspace-lectures#57 (one PR per holding repo, identical titles). Source list: https://quantecon.github.io/data-lectures/audit.json orphans, 2026-08-31 run.

🤖 Generated with Claude Code

[Copilot]

Pull request overview

This PR removes lecture-specific static dataset files that are no longer referenced by the zh-cn lectures (data is either pulled from QuantEcon/data-lectures URLs or created at runtime via %%file / %%writefile). This reduces repo size and eliminates “committed orphan” assets that are currently published under _static/lecture_specific/.

Changes:

• Delete the pandas_panel static CSV trio (countries.csv, employ.csv, realwage.csv) that lectures now source from QuantEcon/data-lectures.
• Delete unreferenced pandas/data CSVs (ticker_data.csv, test_pwt.csv) from _static/lecture_specific/.
• Delete lecture-generated text/CSV artifacts (numbers.txt, us_cities.txt, and both test_table.csv copies) that are written by the lectures themselves.

Reviewed changes

Copilot reviewed 5 out of 9 changed files in this pull request and generated no comments.

Show a summary per file

File	Description
lectures/_static/lecture_specific/pandas_panel/countries.csv	Remove orphaned static dataset copy.
lectures/_static/lecture_specific/pandas_panel/employ.csv	Remove orphaned static dataset copy.
lectures/_static/lecture_specific/pandas_panel/realwage.csv	Remove orphaned static dataset copy.
lectures/_static/lecture_specific/pandas/data/ticker_data.csv	Remove unreferenced static CSV.
lectures/_static/lecture_specific/pandas/data/test_pwt.csv	Remove orphaned static CSV copy (lecture uses remote URL).
lectures/_static/lecture_specific/python_advanced_features/numbers.txt	Remove lecture-generated file that’s created via %%file in-content.
lectures/_static/lecture_specific/python_advanced_features/test_table.csv	Remove orphaned static CSV (lecture creates local test_table.csv via %%file).
lectures/_static/lecture_specific/python_foundations/test_table.csv	Remove orphaned static CSV duplicate.
lectures/_static/lecture_specific/python_foundations/us_cities.txt	Remove lecture-generated file that’s created via %%writefile / %%file in-content.

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[mmcky]

Validation (2026-09-01): this edition's CI has no preview step, so the channels are the build and the sources. Build Project [using jupyter-book] succeeded on the branch; its log has 0 warnings or errors mentioning any of the nine deleted basenames. In the sources every former reader points at data-lectures: pandas_panel.md lines 89/191/459 (realwage/countries/employ), pandas.md line 184 and polars.md lines 177/360/435 (test_pwt.csv); debugging.md, python_essentials.md and python_advanced_features.md write numbers.txt, us_cities.txt and test_table.csv with %%file/%%writefile; the exercise link at python_advanced_features.md:1199 points at the English repo's kept copy. The identical set was preview-verified on the fr and fa PRs, whose sources match line for line.