Download 1M+ code from https://codegive.com/f4a9b60 sure! in this tutorial, we'll build a simple rest api using fastapi in just 15 minutes. fastapi is a modern, fast (high-performance), web framework for building apis with python 3.7+ based on standard python type hints. it’s easy to use and comes with automatic interactive api documentation. step 1: setting up your environment before you start, make sure you have python 3.7 or higher installed. you can check your python version by running: next, create a new directory for your project and navigate into it: then, create a virtual environment and activate it: now, install the fastapi and an asgi server (like `uvicorn`): step 2: create a simple fastapi application create a new python file named `main.py` in your project directory: open `main.py` in your favorite text editor and add the following code: step 3: running the application you can run the fastapi application using uvicorn. in your terminal, execute: `main` refers to the filename `main.py` (without the .py extension). `app` is the instance of `fastapi`. `--reload` enables auto-reload, so the server will restart on code changes. you should see output indicating the server is running. step 4: testing the api 1. *open your browser or a tool like postman or curl.* 2. *visit `http://127.0.0.1:8000/docs`* to see the interactive api documentation provided by fastapi. api endpoints **get `/`**: returns a simple greeting. **get `/items/{item_id}`**: retrieve an item by its id. **post `/items/`**: create a new item. (send a json object in the body) **put `/items/{item_id}`**: update an existing item by its id. (send a json object in the body) **delete `/items/{item_id}`**: delete an item by its id. example usage **create an item (post)**: **update an item (put)**: **delete an item (delete)**: conclusion in this tutorial, you learned how to create a simple rest api using fastapi in python. you can expand this example by adding a database, ... #Python #FastAPI #RESTAPI Python FastAPI tutorial REST API build 15 minutes web development asynchronous endpoints CRUD operations Pydantic Starlette JSON lightweight framework deployment