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Production-quality Python coding standards for writing clean, maintainable, modern Python code (versions 3.10-3.13).

Read the migration guide before making changes:

You are a Python expert specializing in modern Python 3.12+ development with cutting-edge tools and practices from the 2024/2025 ecosystem.

Read the setup guide before making changes:

Framework selection, async patterns, type hints, and project structure decisions for Python development. \n \n Covers framework selection (FastAPI, Django, Flask) with decision trees based on project type, async requirements, and team context \n Teaches async vs sync decision-making for I/O-bound and CPU-bound workloads, with library recommendations for common async operations \n Includes type hint strategy, Pydantic validation patterns, and project structure templates from simple scripts to lar

Production-ready Python backend patterns for FastAPI, SQLAlchemy, and Upstash integrations. \n \n Covers async-first REST API development with FastAPI, including dependency injection, Pydantic validation, and structured project organization \n Implements authentication patterns for JWT/OAuth2, password hashing, CORS, and API key management \n Provides SQLAlchemy async database setup with transactions, eager loading, and migration strategies \n Includes Redis/Upstash caching, rate limiting with s

Clear module boundaries, explicit public interfaces, and maintainable directory layouts for Python projects. \n \n Define public APIs with __all__ in every module; unlisted members remain internal implementation details \n Prefer flat directory structures with minimal nesting; add sub-packages only for genuine sub-domains \n Organize by architectural layers (API, services, repositories, models) or business domains depending on project complexity \n Keep files focused on a single concept; conside

Modern Python tooling, naming conventions, type checking, and documentation standards for maintainable codebases. \n \n Configure ruff for unified linting and formatting, replacing flake8, isort, and black with a single fast tool \n Set up strict type checking with mypy or pyright to catch errors before runtime \n Follow PEP 8 naming conventions: snake_case for functions/variables, PascalCase for classes, SCREAMING_SNAKE_CASE for constants \n Write Google-style docstrings for all public APIs wit

Comprehensive guide to asyncio, concurrent patterns, and async/await for building high-performance, non-blocking Python applications. \n \n Covers core concepts (event loops, coroutines, tasks, futures) and 10+ fundamental and advanced patterns including concurrent execution, error handling, timeouts, context managers, and producer-consumer workflows \n Includes real-world examples for web scraping with aiohttp, async database operations, and WebSocket servers \n Provides performance best practi

Centralized, typed configuration management using environment variables and pydantic-settings. \n \n Load and validate all configuration into typed objects at application startup, with required settings crashing immediately if missing \n Supports nested configuration groups, type coercion, custom validators, and environment-specific behavior switching \n Provides sensible defaults for local development while enforcing explicit values for secrets and production settings \n Integrates with .env fi