Cursor for data science scorecard
The author used Cursor on a real data science project in Python and graded it across general coding and data tasks.
Prototyping, code completion, commenting and documentation earned A grades; web scraping, code tidying and getting started got D; dataframe manipulation and code generation got C.
Overview
How it was set up
Cursor with Claude as the engine, on a paid subscription, working on Python, Pandas and Streamlit code with GitHub integration.
Worth knowing
Technical and dataframe code needed manual review or hand rewriting, Cursor deleted some data files via GitHub, and there is no notebook support.
A prompt to start from
The source does not show the prompt.
Sources 1
History
- Added to Agentic Feats
- 2026-10-13
- Pick
- No
- Markdown copy
- /c/cursor-for-data-science-scorecard.md
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