[ak2] Editorial Suggestions (carried over from intro repo #491)
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评估
- 难度
- 4/5
- 预计耗时
- 3-5 天
- 新手友好度
- 52/100
- Issue 类型
- 文档
- 描述清晰度
- 基本清楚
- 活跃度
- 冷清
- 技术栈
- matplotlib, python
调研方向
从当前的 ak2 讲义开始，将旧的章节引用，尤其是第 30.10.3 节和第 31.10.4 节，对应到其当前结构。检查周围的文字和图表，在讲义中搜索 plt.<...> 调用和类包装器，然后更新图和代码，使渲染后的讲义能够将每个保留的图表与其解释清晰地对应起来。
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描述
This issue bundles the remaining unchecked editorial items from QuantEcon/lecture-python-intro#491. The ak2 lecture was removed from lecture-python-intro in QuantEcon/lecture-python-intro#549 and now lives here, so the open suggestions are being re-filed against this repo for triage.
The section/equation numbers below reference the version of the lecture as it stood when the original issue was filed; reviewers should map them to the current section structure here.
Content
- Starting from section 31.10.4, reconsider plotting a graph for every single variable — keep graphs only for those that are discussed in the surrounding text. The graphs are dense and hard to read, and the prose doesn't clearly explain the conclusion being drawn from each figure. Tighten the link between figures and the explanation below them.
Code
- For the code block in section 30.10.3, remove the class wrapper and refactor to plain functions.
- Convert the plotting code to the object-oriented matplotlib API. Search for uses of
plt.<...>and replace withfig, ax = plt.subplots()/ax.<...>style. Use the default figure size, make the plotting code stand out clearly, and let matplotlib pick colours rather than hard-coding them.
Context
Originally filed by @Jiarui-ZH at QuantEcon/lecture-python-intro#491 with comments from @pgrosser1. Items already done in the original issue (rephrasing around equations 31.3 and 31.8, replacing njit usage) were addressed before the lecture moved, so they aren't repeated here. The related sub-issue QuantEcon/lecture-python-intro#507 is closed.
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