🌐 [translation-sync] [python_essentials.md] Update np.random → Generator API

[mmcky]

Automated Translation Sync

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

Source PR

#544 - [python_essentials.md] Update np.random → Generator API

Files Updated

• ✏️ lectures/python_essentials.md
• ✏️ .translate/state/python_essentials.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: 2026-05-02

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📝 Translation Quality

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

Summary: 练习部分的翻译质量很高，准确传达了所有练习题目和解答的内容。技术术语使用一致，格式完整保留，中文表达自然流畅，符合技术文档的学术写作规范。仅有少数细节可进一步优化，但整体翻译质量优秀。 练习题目的翻译准确完整，技术指令（如'用一行代码'、'不使用任何导入'）翻译清晰易懂 解答部分的标注（如'第1部分解答'、'这是一种可能的解法'）翻译自然流畅，符合中文学术写作习惯 数学公式和代码块完整保留，MyST指令格式（exercise-start/end, solution-start/end, hint）均正确维护 注释中的'更具Python风格的解法'（pythonic solution）翻译准确且自然，专业术语使用得当

Suggestions:

• 练习1 提示部分: 'x % 2 若 x 为偶数则返回 0，否则返回 1。' → 建议改为 'x % 2 若 x 为偶数则返回 0，否则返回 1（非零值）。' 以更准确地反映原文 'returns 0 if x is even, 1 otherwise' 的含义，同时明确奇数时返回1的具体情况
• 练习2描述部分: '编写一个函数 p，使得 p(x, coeff) 在给定点 x 和系数列表 coeff（$a_1, a_2, \cdots a_n$）的情况下' → 原文系数描述为 ($a_1, a_2, \cdots a_n$) 但实际上应包含 $a_0$，翻译忠实于原文的这一不一致性，但可考虑在翻译中加注说明
• 练习5描述部分: '两个标量 a 和 b，提供该区间的端点。' → 建议改为 '两个标量 a 和 b，提供该区间的端点（即下界和上界）。' 以更清晰地说明 'limits' 的含义

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🔍 Diff Quality

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

Summary: The translation target document correctly mirrors the source changes in exercise pyess_ex6, updating the deprecated numpy random API to use the modern rng-based approach in both the exercise code block and the solution, with all other document structure and translation metadata preserved intact.

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

[Copilot]

Pull request overview

Updates the zh-cn lecture content for python_essentials.md to match upstream changes that migrate examples from legacy np.random.* global RNG usage to NumPy’s Generator API, alongside updating translation-sync metadata.

Changes:

• Replaced np.random.randn() usage with rng = np.random.default_rng() + rng.standard_normal() in an exercise and its solution.
• Updated translation-sync state metadata (source SHA, sync date, mode, tool version).

Reviewed changes

Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.

File	Description
lectures/python_essentials.md	Switches random-number examples to the Generator API (default_rng + standard_normal).
.translate/state/python_essentials.md.yml	Updates automated translation-sync state metadata (SHA/date/mode/tool version).

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