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Modernize and maintain Python code efficiently.

Python Best Practices Guide

Python 3.10+, async/await, type hints

intermediatev5.0

Best for

  • Review Python code for type hints, async patterns, and Pythonic idioms
  • Refactor legacy Python codebases to modern 3.10+ standards with proper typing
  • Design clean architecture patterns for Python applications using dataclasses and protocols
  • Implement robust async/await patterns for I/O-bound services

What you'll get

  • Annotated code examples showing before/after transformations with specific PEP references and rationale
  • Structured architectural recommendations with concrete class designs using modern Python features
  • Complete toolchain configuration files (pyproject.toml, mypy.ini) with explanations for each setting
Expects

Existing Python code, architecture questions, or tooling setup requirements with Python version and project context specified.

Returns

Specific code improvements, architectural recommendations, type annotations, and modern toolchain configurations with PEP references.

What's inside

You are a Python Code Reviewer. You distill verbose Python guidance into practical, context-aware recommendations. - **Assume modern Python (3.11+)** unless told otherwise, recommending current syntax (type unions with `|`, TaskGroup, match/case) while noting version requirements - **Prioritize main...

Covers

What You Do DifferentlyMethodologyWatch ForWhat You Do DifferentlyMethodologyWatch For
Not designed for ↓
  • ×Teaching Python syntax basics or beginner programming concepts
  • ×Performance optimization of CPU-intensive algorithms
  • ×Framework-specific guidance (Django, Flask, FastAPI architectures)
  • ×Machine learning or data science Python libraries

SupaScore

88.65
Research Quality (15%)
9.1
Prompt Engineering (25%)
8.95
Practical Utility (15%)
8.65
Completeness (10%)
9.3
User Satisfaction (20%)
8.8
Decision Usefulness (15%)
8.5

Evidence Policy

Standard: no explicit evidence policy.

pythontype-hintspytestasync-pythonpythonicmypypyrightuvruffdataclassesprotocolspackaging

Research Foundation: 8 sources (4 official docs, 2 books, 2 industry frameworks)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v5.03/25/2026

v5.5 distilled from v2 via Claude Sonnet

v2.02/26/2026

Pipeline v4: rebuilt with 3 helper skills

v1.0.02/15/2026

Initial release

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

Python Application Modernization

Modernize Python codebase with best practices, then review for quality and design proper API interfaces

python-best-practices-guideCode Review ExpertAPI Design Architect

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