“Python”

Use ArcGIS API for Python for GIS administration, spatial dataframes, feature/raster analysis, mapping, location services, geospatial deep learning, app…

Use this skill when the user asks to run, execute, or test Python code snippets.

Runs the bundled Python echo script with user-provided text.

Python code conventions covering type hints, Ruff formatting/linting, Pyrefly, pytest, async I/O, uv packaging, and dependency security scanning.

Pythonを書く/レビューする時に「よりPythonらしい書き方」を素早く参照するための定石集（開発用の手引き・チートシート）。

Use when writing or modifying Python code in workspace/.

Estilo e boas práticas ao implementar ou refatorar funções e métodos em Python

cuOpt REST server — start server, endpoints, Python/curl client examples.

Databricks development guidance including Python SDK, Databricks Connect, CLI, and REST API.

Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux.

Expert guidance for writing professional Python code following industry best practices including PEP 8 compliance, testing, type hints, error handling, and…

Modernize an Open edX Python repo to use uv, pyproject.toml (PEP 621/735), optional src/ layout (if publishing to PyPI), and python-semantic-release.

End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.

Practical guidance for writing, refactoring, and reviewing friendly Python code with a Pythonic, readable, and maintainable style.

Panel data analysis with Python using linearmodels and pandas.

Expert in FastAPI Python development with best practices for APIs and async operations

Pythonic イディオム、PEP 8標準、型ヒント、堅牢で効率的かつ保守可能なPythonアプリケーションを構築するためのベストプラクティス。

Implements reliable automations in Python for REST APIs: httpx/requests patterns, retries, timeouts, pagination, typing, config, logging, and tests.

Scaffold a new Python project with uv.

Simplify existing Python code

Use when writing or modifying Python code (.py, pytest, pip, uv).

Python type hints, readability, and explicit error handling.

Set up a modern Python project with uv, pyproject.toml, and ruff.

R-to-Python translation for data analysis.