[mmcky]

Closes #31. This is the machine translation of lectures/pandas.md (Pandas) for native-speaker review by Adisankar: round 5. It was made with the current release of the engine, v0.29.3, which carries what rounds 1–3 taught it, including your answers on #22. Preview: https://quantecon.github.io/lecture-python-programming.ml/pr-26/pandas.html

For the reviewer (@adisankarmt)

• Please read the whole lecture, in the preview or under Files changed, and put a suggestion block on any line you would change. For a larger change, you can commit to this branch instead. The translation manual has the details, and its Malayalam page the edition's term policy and rulings.
• What matters most: meaning errors; Malayalam where the edition keeps English (over-translation); terms that disagree with the glossary or the Malayalam page; register that departs from the classroom teacher's voice; Malayalam that reads unnaturally.
• Please skip the headings, the code cells and the exercise blocks (each exercise, hint and solution), which are machine-checked identical to the English (below), and the translation: block at the top of the file. Any other text under Exercises is translated and needs your review.
• An error in the English goes upstream: open an issue in QuantEcon/lecture-python-programming, link it in a comment on the line, and leave the translation matching the English as it stands; your review goes ahead without waiting for the fix.
• When your review is complete, approve this pull request and mention @mmcky in the summary. Read and verify every edit yourself, and do not let AI or machine translation write it: see Review by hand.
• @mmcky then applies your suggestions, with you credited as co-author, answers here any that are not applied, and updates the engine (glossary entries, rules, automatic checks and repair scripts) before the next lecture is drafted. Merging this pull request also closes the lecture's review issue. Questions that need your answer come afterwards on one issue, assigned to you.
• GitHub Copilot has left an automated review here. It does not know the edition's keep-English policy, and it needs no attention from you.
• There is no deadline.

New since the last draft

• From your review of numpy.md (Malayalam translation: numpy — calibration review round 4 (v0.29.2 engine) #23): a script now splits a sentence where two clauses are joined by a comma and a pronoun (ഇത്, ഇവ, അത്, അതിനാൽ), which is the change you made at every such place in numpy. It fired once here, at line 242.
• Your round-4 questions on Round-4 review questions for Adisankar (numpy): five word choices, and three small fixes to confirm #25 are answered, and that issue is closed. This draft was made before your answers; the one item below that they settle is lines 68–72 (your question 2).

Provenance

• Source: QuantEcon/lecture-python-programming@b0b0b56 (pandas.md last changed in 55c87c9).
• Model: claude-sonnet-5.
• Engine: v0.29.3 (16e50f6, what @v0 resolves to), with the Malayalam glossary v0.7.0 and the 28-rule set.
• Command, run locally: translate init --localize none (nothing inside code cells is translated).
• Drafts: three of the same engine on the same source; this one was chosen by our checks (see Disclosures).

Machine verification

• Headings: 17/17 identical to the English.
• Code cells: identical to the English.
• Exercise-family blocks: 4/4 identical to the English.
• On the text as sent: 0 -ഉം pairs without a comma, 0 comma-plus-pronoun joins, 0 Malayalam plurals on English nouns, and For example kept in English.

Left as generated for you to call

• Line 56 opens a paragraph with lowercase data science (the rules would capitalise it).
• Lines 68–72 are bullets that begin in lowercase because they continue the sentence before the list. Your answer to question 2 on Round-4 review questions for Adisankar (numpy): five word choices, and three small fixes to confirm #25 settles this: the first word of each item takes a capital, and an item that begins with a technical term keeps the term's own case. Each of these bullets begins with an English word, so which of them take a capital is yours to call under that answer.
• Line 137 renders In fact, as വാസ്തവത്തിൽ; the rules ask to keep In fact, in English. All three drafts did this.
• Line 236 ends with a comma just before a code cell.
• Line 604, the last paragraph, has no full stop.
• Line 815, the footnote that defines munging, is still in English; it is outside the exercise blocks, so it needs your review.

Disclosures

1. Draft selection. This is the cleanest of three drafts of the same engine on the same source, chosen by our checks; one of the others had 24 lowercase sentence openers, and the other rendered simple as ലളിതമായ. All three drafts are archived in the engine repository.
2. Scripted repairs. Eleven changes were made by script, ml_repair.py at action-translation d9b243c, not by hand: eight commas between -ഉം items (lines 58, 87, 204, 210, 218 and 474), following your "always"; one sentence split at line 242; and two colons, at lines 64 and 540, at the end of a sentence that continues into the list below it. We are least sure about those two colons. If a repaired line reads wrong to you, that tells us the script is wrong, so please flag it like any other. Nothing else in the text was edited.
3. AI use: the translation is machine-made by the engine, and the draft selection, the checks, the scripted repairs and this description were prepared with Claude Code under @mmcky's direction.

Assisted-by: action-translation v0.29.3 (claude-sonnet-5)
Assisted-by: Claude Code (Claude Opus 5.5)

🤖 Generated with Claude Code

[github-actions]

📖 HTML build - view preview (a4b45b3)

Translated pages in this PR:

• pandas.html

[Copilot]

Copilot review overview

🟡 Changes recommended

There are several concrete correctness and consistency issues (including code cells that will error / behave differently than described, plus punctuation/style inconsistencies) that should be fixed before merging.

Review effort: Lite
Findings: 1

Open (1)

• Capitalize sentence-initial “data science” · New

What changed in this PR

Adds the Malayalam translation of the pandas lecture as part of the calibration programme (round 5), providing localized narrative text while keeping headings/code/exercises structurally aligned with the English source.

Changes:

• Introduces lectures/pandas.md as the Malayalam version of the Pandas lecture content.
• Localizes explanatory text around Pandas concepts (Series/DataFrames, selection, missing values, online data sources).
• Includes the exercises/solutions section in the same structure as the source.

File	Description
lectures/​pandas.md	Adds the full Malayalam Pandas lecture; review focused on language consistency and runnable code examples.

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[mmcky]

A note on the automated Copilot comment, @adisankarmt — it needs no attention from you. As in the earlier rounds, Copilot does not know this edition's keep-English policy. Its one comment here, the lowercase data science at line 56, is already on the list in the description above ("Left as generated for you to call"). The other lines it cites are either code cells, which are identical to the English and need no proofreading (261, 335, 351), or lines already on that list (137, 236). If you ever agree with something Copilot says about the Malayalam, write your own comment, and that is the one we encode.

[adisankarmt]

a bit more corrections were needed from what I observed in the last lecture.

[adisankarmt]

Suggested change

	[Pandas](https://pandas.pydata.org/) എന്നത്, Python-നായുള്ള വേഗതയേറിയതും കാര്യക്ഷമവുമായ data analysis tools-ന്റെ ഒരു package ആണ്.
	Python-ൽ വേഗത്തിലും, efficient-ആയും data analysis നടത്താൻ സഹായിക്കുന്ന tools-ന്റെ ഒരു package ആണ് [Pandas](https://pandas.pydata.org/) .

[adisankarmt]

Suggested change

	data science, machine learning തുടങ്ങിയ മേഖലകളുടെ വളർച്ചയ്‌ക്കൊപ്പം, ഈ package-ന്റെ popularity അടുത്ത വർഷങ്ങളിൽ വളരെയധികം ഉയർന്നിട്ടുണ്ട്.
	Data science, machine learning തുടങ്ങിയ മേഖലകളുടെ വളർച്ചയ്‌ക്കൊപ്പം, pandas package-ന്റെ popularity ഈ അടുത്ത വർഷങ്ങളിൽ വളരെയധികം ഉയർന്നിട്ടുണ്ട്.

[adisankarmt]

Suggested change

	Stack Overflow Trends-ന്റെ സഹായത്തോടെ, Matlab-ഉം, STATA-ഉം ആയി താരതമ്യം ചെയ്യുന്ന ഒരു popularity comparison കാലക്രമേണ താഴെ കാണാം:
	Matlab-ഉം, STATA-യും ആയി compare ചെയ്യുമ്പോൾ, over time, Pandas-ന്റെ popularity എത്രത്തോളം മാറിയിരിക്കുന്നു എന്ന് താഴെ കാണാം (courtesy of Stack Overflow Trends):

[adisankarmt]

Suggested change

	[NumPy](https://numpy.org/), അടിസ്ഥാന array data type-ഉം core array operations-ഉം നൽകുന്നത് പോലെ, pandas:
	എങ്ങനെയാണോ [NumPy](https://numpy.org/) basic array data type-ഉം, core array operations-ഉം നൽകുന്നത്, അതുപോലെ pandas:

[adisankarmt]

Suggested change

	1. data-യുമായി പ്രവർത്തിക്കാനുള്ള fundamental structures define ചെയ്യുന്നു, കൂടാതെ
	1. data-യുമായി work ചെയ്യാൻ ആവശ്യമായ fundamental structures define ചെയ്യുന്നു, കൂടാതെ

[adisankarmt]

Suggested change

	ഇപ്പോൾ, data download ചെയ്ത് plot ചെയ്യുന്നതിന്റെ ഒരു example --- ഇത്തവണ World Bank-ൽ നിന്നും --- നമുക്ക് ചെയ്ത് നോക്കാം.
	ഇപ്പോൾ, data download ചെയ്ത്, plot ചെയ്യുന്നതിന്റെ ഒരു example നമുക്ക് ചെയ്ത് നോക്കാം --- ഇത്തവണ World Bank-ൽ നിന്നുള്ള data ആണ് ഉപയോഗിക്കുന്നത്.

[adisankarmt]

Suggested change

	World Bank, indicators-ന്റെ ഒരു വലിയ range-ലുള്ള data [collect ചെയ്ത് organize ചെയ്യുന്നു](https://data.worldbank.org/indicator).
	നിരവധി indicators-ന്റെ, പല തരത്തിലുള്ള data-യെ World Bank [collect ചെയ്ത് organize ചെയ്യുന്നു](https://data.worldbank.org/indicator).

[adisankarmt]

Suggested change

	For example, GDP-യുടെ ratio ആയുള്ള government debt-നെക്കുറിച്ചുള്ള കുറച്ച് data [ഇവിടെ](https://data.worldbank.org/indicator/GC.DOD.TOTL.GD.ZS) കാണാം.
	For example, government debt as a ratio to GDP-നെക്കുറിച്ചുള്ള കുറച്ച് data [ഇവിടെ](https://data.worldbank.org/indicator/GC.DOD.TOTL.GD.ZS) കാണാം.

[adisankarmt]

Suggested change

	അടുത്ത code example, ഈ data നിങ്ങൾക്കായി fetch ചെയ്ത്, US-ന്റെയും Australia-യുടെയും time series plot ചെയ്യുന്നു:
	അടുത്ത code example, ഈ data നിങ്ങൾക്കായി fetch ചെയ്ത്, US-ന്റെയും, Australia-യുടെയും time series plot ചെയ്യുന്നു:

[adisankarmt]

Suggested change

	`Series`-നെ data-യുടെ ഒരു "column" ആയി കരുതാം, ഉദാഹരണത്തിന് ഒരു single variable-ന്റെ observations-ന്റെ ഒരു collection.
	`Series`-നെ data-യുടെ ഒരു "column" ആയി കരുതാം. ഉദാഹരണത്തിന് ഒരു single variable-ന്റെ observations-ന്റെ ഒരു collection.

[adisankarmt]

a bit more corrections were needed from what I observed in the last lecture.

[mmcky]

Thank you, @adisankarmt — a thorough review, and your summary matches the numbers: you changed 85 of the 125 Malayalam lines, more than in numpy. What you changed is clear, and most of it is two habits of the tool: ordinary English words it had turned into Malayalam, which you put back in English every time (efficient, convenient, satisfy, compare, success), and long sentences joined with a comma, which you split in two.

All 85 of your suggestions are applied exactly as you wrote them, in one commit with you as co-author (006c855). A second, separate commit (5da1c5c) fixes three small slips the suggestion box carried: a space before a full stop at 54, a double space at 161, and satisy → satisfy at 340. Please check those — they are listed on #57, and if any is wrong we will put yours back.

The questions from this round are on #57 — two short ones, plus the three fixes to confirm. No rush.

What happens next in the tool. Everything taught after round 4 held, including all eleven scripted repairs you kept. Before the next lecture is drafted, the tool gets the words above as a keep-English list, a script that splits comma-joined sentences the way you do (checked against your own sentences first), and the English In fact / In essence / In practice kept at the start of a sentence.

The merge itself is @mmcky's.

[github-actions]

📖 HTML build - view preview (5da1c5c)

Translated pages in this PR:

• pandas.html