🌐 [translation-sync] Improve NumPy vs Numba vs JAX lecture

[mmcky]

Automated Translation Sync

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

Source PR

#525 - Improve NumPy vs Numba vs JAX lecture

Files Updated

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

Details

• Source Language: en
• Target Language: zh-cn
• Model: claude-sonnet-4-6

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This PR was created automatically by the translation action.

[github-actions]

✅ Translation Quality Review

Verdict: PASS | Model: claude-sonnet-4-6 | Date: 2026-04-13

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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 modified sections is of high quality overall. Technical concepts are accurately conveyed, terminology is consistent and appropriate, and the formatting is well-preserved. Two minor issues were identified: 'mesh grids' is rendered as '网格矩阵' which slightly implies a mathematical matrix structure rather than large arrays, and 'combining operator' could more precisely be rendered as '归约算子' rather than '合并算子' given the reduction context. These are minor points that do not significantly impact comprehension. The translation accurately conveys all technical concepts including the reduction (归约) explanation in the Parallelized Numba section, preserving the nuanced explanation of why the naive parallel implementation is incorrect The Summary sections are fluent and well-structured, faithfully capturing the comparative judgments between JAX, NumPy, and Numba The Overall recommendations section is translated naturally with appropriate academic register, and the note about lax.scan supporting automatic differentiation is accurately rendered Inline code, LaTeX math, MyST directives, and code cell comments are all correctly preserved and formatted The bold emphasis on key contrasts (e.g., '在代码可读性和易用性方面存在显著差异') is correctly maintained from the source

Suggestions:

• JAX plus vmap section - '网格矩阵' should be '网格' or '网格数组': 'the mesh grids are memory intensive' → '但网格矩阵的内存占用很大' — '网格矩阵' implies a mathematical matrix, while 'mesh grids' here refers to large arrays; '网格数组' would be more precise

• Parallelized Numba section - minor phrasing: 'Numba 知道合并算子' → consider '归约算子' instead of '合并算子' for the term 'combining operator', as '归约算子' better aligns with the technical reduction context already established in the same paragraph

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🔍 Diff Quality

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

Summary: All changes are correctly positioned, scoped, and reflected in the translation with proper heading map updates removing deleted subsections.

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

[Copilot]

Pull request overview

Automated translation sync updating the zh-cn version of the “NumPy vs Numba vs JAX” lecture to match upstream content changes, including expanded explanations and a new recommendations section.

Changes:

• Updated the Numba prange discussion with a clearer explanation of reductions and safer parallel patterns.
• Improved the JAX section (including meshgrid usage and a more memory-efficient vmap + jit approach).
• Added an “Overall recommendations / 总体建议” section and updated translation sync state metadata.

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated 1 comment.

File	Description
lectures/numpy_vs_numba_vs_jax.md	Syncs translated lecture content with upstream improvements; adds a new recommendations section and refines JAX/Numba explanations.
.translate/state/numpy_vs_numba_vs_jax.md.yml	Updates translation sync bookkeeping (source SHA, sync date, section count, tool version).

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