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Pydantic

30 Day Path

Master data validation in Python. From BaseModel basics to production validation pipelines.

The Pydantic Confidence Check

Day 1: The Pydantic Confidence Check~15m

Phase 2: BaseModel & Validation

Day 2: BaseModel & Validation~15m
Day 3: Your First BaseModel~15m
Day 4: Types & Automatic Validation~15m
Day 5: Required Fields vs Defaults~15m
Day 6: Field Metadata & Constraints~15m
Day 7: Writing Field Validators~15m
Day 8: From isinstance() to BaseModel — Foundations Review~10m

Phase 3: Advanced Models

Day 9: Advanced Models~15m
Day 10: Nested Models & Relationships~15m
Day 11: Model Configuration~15m
Day 12: Serialization~15m
Day 13: JSON Schema & Documentation~15m
Day 14: Custom Serializers~15m
Day 15: From Flat Models to Production Architecture — Advanced Models Review~10m

Phase 4: Unions, Generics & Dynamic Schemas

Day 16: Unions, Generics & Dynamic Schemas~15m
Day 17: Discriminated Unions~15m
Day 18: Generic Models & TypeVar~15m
Day 19: Root Models~15m
Day 20: Dynamic Schemas~15m
Day 21: Custom Types~15m
Day 22: From One Shape to Many — Patterns Review~10m

Phase 5: Production Error Handling & Pipelines

Day 23: Production Error Handling & Pipelines~15m
Day 24: Error Handling~15m
Day 25: Batch Processing~15m
Day 26: Database Integration~15m
Day 27: API Response Validation~15m
Day 28: Building Validation Pipelines~15m
Day 29: From Models to Systems — Real-World Review~10m

The Pydantic Growth Report

Day 30: The Pydantic Growth Report~15m
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