python-typing

What problem does it solve?

Modern Python projects benefit from explicit type annotations and robust data validation. This skill codifies best practices for 3.10+ type syntax and Pydantic v2 patterns to reduce runtime errors and improve maintainability.

Core Features & Use Cases

• Guidelines for function annotations, TypeVar usage, and built-in generics to promote consistency across projects.
• Pydantic v2 models for data validation, serialization, and framework integration (FastAPI, Django).
• Patterns for Protocols, Annotated, and TypedDict to model complex data flows.
• Use Case: Design a User model with strict type checks and JSON schema generation for API docs.

Quick Start

Provide a simple, type-safe User model using Pydantic v2 to validate input data.