“Python”

Use this skill to write and review Python code with strong emphasis on readability, correctness, type safety, testing, and maintainability.

Python expert — modern patterns, typing, testing, and project structure

Builds Python-based Databricks applications using Dash, Streamlit, Gradio, Flask, FastAPI, or Reflex.

Scaffold a new Python project with uv, ruff, pytest, and GitHub Actions CI.

Guide for writing idiomatic Scala when translating from Python.

Python best practices, idioms, and patterns.

Guidance for refactoring Python code to improve clarity and maintainability.

Creates a Finnish report about Python releases.

Guide for mapping common Python libraries and idioms to Scala equivalents.

Fix Ruff formatting and lint errors in an explicit Python file or directory scope.

CLI application patterns for Python.

pytest testing patterns for Python.

Instructions for writing Python tests (pytest), including mocking, fixtures, and golden path standards.

Initialize a new Python project with uv, git, env files, README/AGENTS docs, pyproject tooling (ruff, ty, pytest, python-dotenv as dev), agents/skills layout…

Python packaging migration guidance.

Stata-to-Python translation for data analysis.

Python test coverage and Codecov CI guidance.

Recover logic from PyInstaller, cx_Freeze, py2exe, Nuitka, and other frozen Python applications, including modified bootloaders, decoy entry scripts, patched…

Review Python code for correctness, security, maintainability, test coverage, and regression risk with stack-aware checks.

Use for package layout under contentstack_management/, setup.py, pylint-friendly style, and imports.

The canonical Python stdlib oracle for AI coding agents — always free, always MIT, token-frugal.

Guide for translating Python code to functional Scala style.

Python/FastAPI coding standards including async patterns, Pydantic v2, SQLAlchemy 2.0, and project structure.

Tinybird Python SDK for defining datasources, pipes, and queries in Python.