🌐 [translation-sync] [polars] Fetch the FRED CSV with requests before parsing it

[mmcky]

Automated Translation Sync

This PR contains automated translations from QuantEcon/lecture-python-programming.

Source PR

#647 - [polars] Fetch the FRED CSV with requests before parsing it

Files Updated

• ✏️ lectures/polars.md
• ✏️ .translate/state/polars.md.yml

Details

• Source Language: en
• Target Language: zh-cn
• Model: claude-sonnet-5

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This PR was created automatically by the translation action.

[github-actions]

✅ Translation Quality Review

Verdict: PASS | Model: claude-sonnet-5 | Date: 2026-10-13
Routing: auto-merge — no gating findings; floors met
Shadow gate: would auto-merge (recorded only; no action taken)

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📝 Translation Quality

Criterion	Score
Accuracy	9/10
Fluency	9/10
Terminology	9/10
Formatting	9/10
Overall	9/10

Summary: The translation of the 'On-line data sources' section is accurate, fluent, and well-formatted, with correct preservation of code blocks, links, and MyST syntax. Only minor stylistic improvements could be made to phrasing around the FRED description, but no substantive accuracy or terminology errors were found. Accurate and natural translation of technical Polars/FRED-related content in the 'On-line data sources' section Correct handling of inline code, URLs, and MyST directives with proper spacing between Chinese text and code/links Consistent terminology usage matching glossary conventions (e.g., 时间序列, 美联储经济数据 concept accurately conveyed)

Suggestions:

• [minor · fluency] lectures/polars.md — ## 在线数据源 - '庞大时间序列数据集': The English phrase 'a vast collection of time series data' is translated as '庞大时间序列数据集' which reads slightly awkwardly as a compound noun; inserting '的' improves fluency. → 庞大的时间序列数据集合
• [nit · terminology] lectures/polars.md — ## 在线数据源 - FRED definition: FRED is glossed as '美联储经济数据' in the glossary, but here it's described inline as '由圣路易斯联储维护的庞大时间序列数据集' which is accurate but doesn't use the glossary's exact phrase for FRED; consider aligning terminology for consistency if FRED is referenced elsewhere. → No change required; optional alignment with glossary term '美联储经济数据' if used elsewhere in the lecture series.

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🔍 Diff Quality

Check	Status
Scope Correct	✅
Position Correct	✅
Structure Preserved	✅
Heading-map Correct	✅
Overall	10/10

Summary: The translation sync correctly added the requests-based CSV fetching change in the 'On-line data sources' section with matching position, structure, and no heading changes needed.

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This review was generated automatically by action-translation review mode.

[Copilot]

🟢 Approval recommended

The translated prose accurately reflects the source, the code block is identical to upstream PR #647, and the state metadata is consistent with the PR's sync parameters.

0 open findings

What changed in this PR

This is an automated translation-sync PR that propagates upstream source PR QuantEcon/lecture-python-programming#647 into the Simplified Chinese (zh-cn) translation. The upstream change updates the FRED data example in the Polars lecture to download the CSV with requests and pass its contents to Polars' read_csv, rather than reading directly from the URL. The Chinese prose is translated accordingly, and the code block (which is not translated) mirrors the source verbatim.

Changes:

• Updated the explanatory prose in lectures/polars.md to describe fetching the FRED CSV via requests before parsing with Polars.
• Updated the FRED example code to use requests.get(...) and pl.read_csv(r.content, ...), matching the source PR exactly.
• Bumped translation state metadata (source-sha, synced-at, tool-version) in .translate/state/polars.md.yml.

File	Description
lectures/​polars.md	Translated prose and copied code block to fetch the FRED CSV with requests before parsing, matching upstream PR #647.
.translate/​state/​polars.md.yml	Updated sync metadata (source SHA, sync date, tool version) to reflect the new sync state.

🧠 Review effort: Balanced

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