Developing APIs with Python and FastAPI Training Course

Introduction

• FastAPI vs Django vs Flask.
• Overview of FastAPI features and advantages.

Getting Started

• Installing FastAPI.
• Defining a schema using OpenAPI.

Path and Query Parameters

• Declaring path parameter types.
• Parsing and validating data.
• Declaring required and optional parameters.
• Converting query parameter types.
• Handling multiple path and query parameters.

Declaring a Request Body with Pydantic Models

• Creating a data model.
• Combining path, query, and body parameters.
• Declaring validations and metadata.
• Using deeply nested models.
• Defining example data.
• Response and extra models.

Defining Forms and Files

• Using form fields instead of JSON.
• Creating file parameters.
• Using file and form parameters.

Handling Errors

• Using HTTPException.
• Adding custom headers.
• Installing custom exception handlers.
• Overriding default exception handlers.

Working with Databases

• ORMs and file structure.
• Creating SQLAlchemy parts.
• Creating database models.
• Creating Pydantic models.
• Performing CRUD operations.
• Creating tables, dependency, and path operations.
• Reviewing and checking files.
• Interacting with the database.

Security and Authentication

• Using OAuth2 and OpenID Connect.
• Defining multiple security schemes with OpenAPI.
• Using the FastAPI utilities.

Deployments

• Deployment concepts, stages, and tools.
• Working with Gunicorn and Uvicorn.
• Using container systems (Docker and Kubernetes).

Troubleshooting

Summary and Next Steps