How does Python Pro handle testing?

It implements robust testing strategies using the pytest framework, focusing on fixtures, parametrization, and mocking to achieve over 90% code coverage.

Does it enforce specific coding styles?

Python Pro strictly adheres to PEP 8 standards, utilizing tools like Black and Ruff for formatting and ensuring all code includes Google-style docstrings.

Does this skill support older Python versions?

Python Pro is specifically optimized for Python 3.11+ to leverage the latest features like Task Groups and modern typing syntax, though it can adapt to 3.10 requirements.

Can this skill help with asynchronous programming?

Yes, it specializes in async/await patterns, asyncio task management, and avoiding common pitfalls when mixing synchronous and asynchronous code.

Python Pro

Name: Python Pro
Author: Jeffallan

byJeffallan

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API 개발

Develops type-safe, performant, and idiomatic Python 3.11+ applications with a focus on production-grade standards and async patterns.

소개

Python Pro is a specialized Claude Code skill designed for senior-level software engineering, emphasizing modern Python 3.11+ syntax and robust architecture. It provides expert guidance on implementing strict type hinting, asynchronous programming via asyncio, and comprehensive testing suites with pytest. Whether you are refactoring legacy code to meet modern standards or building high-performance backends from scratch, this skill ensures your codebase remains maintainable, PEP 8 compliant, and fully optimized for production environments.

주요 기능

Strict type safety and mypy-compliant function signatures
Automated PEP 8 compliance and Google-style documentation
Advanced async/await patterns for high-performance I/O
Modern Pythonic patterns including Dataclasses and Protocols
Comprehensive testing suites using pytest and fixtures
7 GitHub stars

사용 사례

Building scalable, async-first backend services and APIs
Modernizing legacy Python codebases to Python 3.11+ standards
Architecting complex data processing pipelines with strict type enforcement

소개

주요 기능

Strict type safety and mypy-compliant function signatures
Automated PEP 8 compliance and Google-style documentation
Advanced async/await patterns for high-performance I/O
Modern Pythonic patterns including Dataclasses and Protocols
Comprehensive testing suites using pytest and fixtures
7 GitHub stars

사용 사례

Building scalable, async-first backend services and APIs
Modernizing legacy Python codebases to Python 3.11+ standards
Architecting complex data processing pipelines with strict type enforcement