Skills for Python and data

Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate…

Cursor rules for Python LLM & ML development with workflow integration.

Python best practices and patterns for modern software development with Flask and SQLite

Cursor rules for Python FastAPI development with best practices.

Python resource management with context managers, cleanup patterns, and streaming. Use when managing connections, file handles, implementing cleanup logic, or building streaming responses with accumulated state.

This instruction summarizes Microsoft Learn guidance for the Dataverse SDK for Python (preview) and provides copyable snippets.

Python code style, linting, formatting, naming conventions, and documentation standards. Use when writing new code, reviewing style, configuring linters, writing docstrings, or establishing project standards.

Main client for interacting with Dataverse. Initialize with base URL and Azure credentials.

Adds native Windows ARM64 wheel builds and tests to a Python package's existing GitHub Actions workflows using the 'windows-11-arm' runner.

Instructions for using LangChain with Python

Blender Python add-on rules for operators, panels, properties, registration, testing, and API-safe scripting

Cursor rules for Pandas development with scikit-learn guide integration.