Pydantic Cheatsheet 17 — pydantic.dataclasses
Cheatsheet: pydantic.dataclass vs BaseModel, attrs comparison, stdlib dataclass conversion.
Pydantic
Pydantic Cheatsheet 18 — Common Domain Types (IDs, Money, Phone, Email)
Cheatsheet: branded ID types, Decimal for money, phone validation, EmailStr, AwareDatetime.
Pydantic Cheatsheet 19 — Testing Pydantic Models
Cheatsheet: parametrized tests, ValidationError assertions, factories, round-trip tests.
Pydantic Cheatsheet 20 — Migration v1 → v2
Cheatsheet: method renames, Config → model_config, validator decorators, codemod (bump-pydantic).
Pydantic v2 Deep Dive — The Patterns Every Backend Python Developer Needs
Pydantic v2 in production. Model design, validators, serializers, settings, the strict mode, performance characteristics, FastAPI / SQLAlchemy patterns, and the migrations from v1.
Structured Output for LLMs in 2026 — Pydantic AI, Instructor, and the End of JSON Parsing
Reliable structured output from LLMs in 2026. Pydantic AI, Instructor, OpenAI’s structured outputs / Anthropic tool calling, retry-on-validation patterns, and the end of homemade JSON parsing.
FastAPI + Pydantic v2 + SQLAlchemy 2.0 — Production Patterns for 2026
A complete, opinionated production layout for FastAPI in 2026. Pydantic v2, async SQLAlchemy 2.0, Alembic, dependency injection, structured errors, settings, logging, and the project skeleton that survives the first 50 endpoints.
Getting Started with FastAPI: Modern Python APIs Done Right
A practical, hands-on introduction to FastAPI covering type-driven routing, Pydantic validation, async I/O, dependency injection, and a sane project layout.