Skip to content
agentusehub
Sign in+ Submit
Research & KnowledgeAny

Grade Cursor on a real data science project

A data scientist tested Cursor on a real project: weak on pandas, data cleansing and scraping, strong at prototyping.

Read the experience
Time saved
Not reported
Setup time
Not reported
Running cost
Not reported
Cost range
Not reported

Use case overview

A data scientist tested Cursor on a real project: weak on pandas, data cleansing and scraping, strong at prototyping.

Read the original report ↗

Reported experience

  1. What they did

    Mike Woodward used Cursor, with Claude as the underlying model, on a real Python data science project about English football data. He graded it A to D across general coding and specific tasks. He prompted for code, then reviewed and fixed it by hand. That included a pandas query for clubs appearing only as home or only as away, which he wrote himself.

  2. How it went

    Grades were A for completion, commenting, documentation and prototyping, and C for pandas, data cleansing and code generation. Scraping and getting started scored D. Streamlit apps came together fast, but anything technical needed careful checking.

  3. Worth knowing

    The free tier runs out quickly, so a paid subscription is needed to evaluate it. Cursor also deleted some data files during GitHub use, so keep backups.

Example prompts

Try with Cursor
I have a data science project in [folder path] about [goal]. Try these tasks and grade yourself on each: [pandas transformations / data cleaning / web scraping / prototyping a model]. For each, tell me what worked, what you were unsure about, and what I should verify by hand. Finish with a short scorecard, and do not overwrite my raw data files.

Related use cases

Research & Knowledge

Analyze 170k LLM logs overnight

A user left a Gemini agent running overnight to analyze 170k LLM logs with the llm CLI and a free model, and it finished the job despite limits.

Gemini