CRUD REST API using Python3, Flask, FastAPI and PostgreSQL database

• Import Flask and FastAPI packages
• Use In-memory list approach for REST API CRUD(GET,POST,PUT,DELETE) methods
• Create Users API using FastAPI by creating a fake database using pydantic inheriting from BaseModel
• Create Cars API using Flask and PostgreSQL database using SQLAlchemy ORM to have consistent data
• Create Users API using FastAPI Async SQL (Relational Database) using PostgreSQL database and SQLAlchemy ORM to have consistent data
• Download dummy data from https://www.mockaroo.com/ for testing an API
• Use Postman or an extension on VScode called Thunder client or swagger UI to test the REST API

• Programming Language
  • Python3

• Flask Framework
• FastAPI Framework

• Flask-migrate
• Flask-SQLAlchemy
• Jsonify
• Pydantic
• Request
• Uvicorn server
• json
• passlib
• uuid
• databases
• typing
• bcrypt

• Postman
• Thunder Client
• Insomnia
• Swagger UI

• VSCode

• Flask

  • python app.py or flask run
  • locahost:5000/api

• FastAPI

  • uvicorn main:app --reload
  • localhost:8000/api