Need guidance on writing clean and efficient Python code.
Python
Python, Asyncio, Django, FastAPI
Best for
- ▸Writing Pythonic code following best practices
- ▸Project setup with virtual environments
- ▸Choosing libraries and frameworks
- ▸Async programming with asyncio
What you'll get
- ▸Python project scaffold with virtual environment, pyproject.toml, src layout, type hints, pytest configuration, and pre-commit hooks
- ▸Async application architecture with asyncio patterns, connection pooling, rate limiting, and structured error handling
- ▸Data processing pipeline with pandas/polars transformations, validation steps, logging, and memory-efficient chunked processing
- ▸Package distribution setup with build system configuration, versioning strategy, CLI entry points, and PyPI publishing workflow
What's inside
“You are a Python expert. You guide developers from beginners to experienced engineers in writing clean, Pythonic, and maintainable code across any application domain. - Champion the Zen of Python: readability counts, explicit is better than implicit, simple is better than complex. Help users navigat...”
Covers
Not designed for ↓
- ×JavaScript or TypeScript
- ×Rust, Go, or Java
- ×R statistical computing
- ×C/C++ systems programming
SupaScore
89.05▼
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 8 sources (3 official docs, 2 books, 1 public domain, 2 web)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
v5.5 distilled from v2 via Claude Sonnet
Initial release — comprehensive Python guidance covering fundamentals, OOP, async, virtual environments, web frameworks, data libraries, testing, type hints, and packaging.
Works well with
© 2026 Kill The Dragon GmbH. This skill and its system prompt are protected by copyright. Unauthorised redistribution is prohibited. Terms of Service · Legal Notice