在代码旁添加 Markdown 笔记
紧邻结果记录分析过程
在代码旁添加 Markdown 笔记 是 CoddyKit 上的免费 Data Science Academy 课时。 这是第 3 节课，共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Data Science Academy 学习路径的一部分，你的进度在网页和 CoddyKit 应用中同步。 Data Science Academy 课程共包含 4 节课。
本课时的部分内容尚未翻译，以英文显示。
Two Kinds of Cells
A notebook cell can hold code or words. Switching one to a Markdown cell lets you write notes that sit right beside your analysis.
Make a Cell Markdown
Select a cell, press Esc, then M to turn it into a Markdown cell. Press Y to turn it back into code whenever you need.
Render It With Run
A Markdown cell shows raw text until you run it. Shift+Enter renders it into clean, formatted prose, just like running code.
Headings Give Structure
Start a line with # to make a heading. More hashes mean smaller headings, so you can outline your analysis like a real document.
# Sales Analysis
## Data CleaningBold and Italic Emphasis
Wrap words in double stars for bold and single stars for italic. A little emphasis makes the key finding jump off the page.
**Key result** and *a soft note*Bullet Lists for Steps
Begin lines with a dash to build a list. Lists are perfect for laying out the steps or assumptions behind your analysis.
- Loaded the data
- Removed duplicates
- Computed totalsLinks to Sources
Add a link by putting text in brackets and the URL in parentheses. Now your reader can jump straight to the data source.
[Data source](https://example.com/data)Inline Code Snippets
Wrap a name in single backticks to show it as inline code. It signals that df or mean() is a literal name, not prose.
Tables Summarize Neatly
Pipes and dashes build a small table in Markdown. Use it to summarize a result without writing a single line of code.
| Month | Sales |
|-------|-------|
| Jan | 120 |Math With LaTeX
Wrap an expression in dollar signs to render math. It is ideal for showing the formula behind a metric right in your notes.
$mean = \frac{1}{n}\sum x_i$Notes Make Notebooks Reusable
Good Markdown turns a pile of cells into a story a teammate, or future you, can follow months later without guessing.
Quick Check
You want a large title above your data-cleaning section in a notebook.
Recap: Document as You Go
You can now write Markdown cells with headings, lists, links, tables, and math, so your analysis explains itself clearly. 📝
常见问题解答
「在代码旁添加 Markdown 笔记」课时是免费的吗？
是的 — 「在代码旁添加 Markdown 笔记」的完整文本可在网页上免费阅读。要进行交互式练习（内置代码编辑器和全天候 AI 导师）并解锁 Data Science Academy 课程的其余内容，请升级到 CoddyKit PRO。 Data Science Academy 课程共包含 4 节课。
「在代码旁添加 Markdown 笔记」这节课中我会学到什么？
紧邻结果记录分析过程 你通过在浏览器中直接运行的动手代码来练习 Data Science Academy，全天候 AI 导师会在你学习这节课的过程中回答你的问题。
学习 Data Science Academy 需要有经验吗？
无需任何先前经验。CoddyKit 上的 Data Science Academy 课程适合初学者到高级学习者，你可以从这里开始或从头开始，按照自己的节奏学习。 这是第 3 节课，共 4 节。
「在代码旁添加 Markdown 笔记」课时需要多长时间？
大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动，所以你能稳步进步，并在网页和应用中从离开的地方继续。
我能在这节 Data Science Academy 课中编写并运行代码吗？
能。每节 Data Science Academy 课都包含内置代码编辑器，你可以在浏览器中直接编写并运行真实代码，并获得即时 AI 反馈 — 无需本地设置。
此课程中的所有课时
- 轻松安装 Python
- 单元格、内核与运行顺序
- 在代码旁添加 Markdown 笔记
- 导入、检查、重复