Python 数据分析套件
pandas 文档已经很好,Stack Overflow 答案大体正确。本套件要解决的是"我知道这件事在 SQL 里怎么做,但要在周五之前用 pandas 完成"的组合问题。
适配 AI: claude-code · claude · cursor一次性付费 · $19
Built for analysts and data scientists who pair with AI for half their notebooks. Replaces the constant 'how do I do this in pandas' loop.
包含哪些内容
- Pandas / DuckDB / Polars recipe library — common operations side by side
- EDA prompt — load a dataset, get null rates, distributions, suspicious values
- Statistical-test cookbook — t-test, chi-square, ANOVA, regression
- SQL ↔ pandas idiom translator
- Plot styling defaults that match Apple-clean aesthetics
您将收到的文件
每个工具包都标配四种格式——SKILL.md、优化包、Custom GPT 提示词以及每个平台的快速上手指南——再加上本工具包专属的参考文档。
- · SKILL.md
- · memory.md
- · optimization-pack.md
- · custom-gpt-instructions.md
- · quick-start.md
- · recipes/pandas-duckdb-polars.md
- · recipes/stats-cookbook.md
- · patterns/sql-to-pandas.md
$19
一次付费,终身使用。结账后立即下载。
或者购买 Developer Mega Stack —— 20 个工具包,仅需 $199 (立省$181)。查看组合包 →
与此工具包搭配的推荐工具。
为此工具包工作流程精挑细选的搭档。Lumenari 用户通常会把它们和工具包里的 prompt 一起使用。
- Cursor
The IDE built for pairing with AI. Lumenari kits drop into Cursor as project rules and instantly upgrade its output.
- Notion AI
Notion with AI baked into every page. Great for storing Lumenari prompts as a team knowledge base.
- Perplexity Pro
AI-native research assistant with sources. The fastest way to validate a prompt's assumptions before you ship.
声明:本节中的链接可能为我们带来佣金。我们只推荐自己在用的工具。