Course Outline

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
  • 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

Requirements

  • An understanding of API concepts
  • Python programming experience

Audience

  • Developers
 14 Hours

Testimonials (1)

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