AcademyRulesData and reporting
Data and analytics teams doing exploratory analysis and charts in Jupyter notebooks.
mkdir -p .cursor/rules && curl -fsSL https://raw.githubusercontent.com/PatrickJS/awesome-cursorrules/main/rules/pandas-scikit-learn-guide-cursorrules-prompt-file.mdc -o .cursor/rules/pandas-scikit-learn-guide.mdcThird party software. By copying, downloading or installing it you accept the Academy legal notice: you are responsible for reviewing its code and permissions before use.
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A Cursor rules file for data analysis and visualization in Jupyter notebooks with Python. It sets conventions for pandas, matplotlib, seaborn and numpy, such as vectorized operations, method chaining, clear plots and notebooks structured with markdown sections.
Data and analytics teams doing exploratory analysis and charts in Jupyter notebooks. A Cursor rules file for data analysis and visualization in Jupyter notebooks with Python. It sets conventions for pandas, matplotlib, seaborn and numpy, such as vectorized operations, method chaining, clear plots and notebooks structured with markdown sections.
Run this in your terminal: mkdir -p .cursor/rules && curl -fsSL https://raw.githubusercontent.com/PatrickJS/awesome-cursorrules/main/rules/pandas-scikit-learn-guide-cursorrules-prompt-file.mdc -o .cursor/rules/pandas-scikit-learn-guide.mdc
Yes. The code is on GitHub (PatrickJS/awesome-cursorrules) under the CC0-1.0 licence.
It passed our automatic scan for credential theft, hidden instructions and risky install commands. Third party open source software. Sabemos AI does not maintain it. Check the code and permissions before you connect it to company data.