Welcome!
Introduction to the project
Building an API with FastAPI
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Implementing API endpoints (14:18)
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Capturing and validating URL query and path parameters; setting response status codes (18:34)
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Modelling validation schemas with Pydantic (22:45)
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Hooking the Pydantic models with the endpoints to validate request and response payloads (11:27)
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Fine-tuning Pydantic schemas for OpenAPI compatibility (14:21)
Adding the data layer with SQLAlchemy
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What is SQLAlchemy? (6:03)
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Introducing the database design (3:03)
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Setting up SQLAlchemy and Alembic (5:12)
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Creating SQLAlchemy's base declarative class (6:36)
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Modelling the database with SQLAlchemy (20:07)
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Running migrations with Alembic (14:10)
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Inserting records with SQLAlchemy (11:25)
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Running your first query with SQLAlchemy (3:25)
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Adding Dataclass super powers to SQLAlchemy models (3:52)
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Running WHERE and COUNT queries with SQLAlchemy (5:12)
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Running complex queries with SQLAlchemy (2:59)
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Updating records with SQLAlchemy (3:13)
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Deleting records with SQLAlchemy (1:24)
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Avoid glitches with SQLite (2:54)
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SQLAlchemy assignment (1:30)
Integrating SQLAlchemy with the API layer
Testing with the Swagger UI and tracing errors in FastAPI
Updating jobs
Adding the Candidates API
