Python Best Practices Guide
Guides you through Pythonic code patterns, type hints, async/await, modern packaging, testing with pytest, and clean architecture. Helps you write idiomatic, maintainable, and well-typed Python code.
SupaScore
85Best 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
- ▸Set up modern Python toolchain with uv, ruff, mypy, and pytest best practices
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
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
Existing Python code, architecture questions, or tooling setup requirements with Python version and project context specified.
Specific code improvements, architectural recommendations, type annotations, and modern toolchain configurations with PEP references.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
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
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
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