Api integration course – modern python with fastapi

# api integration course: modern python with fastapi

## overview

fastapi is a modern web framework for building apis with python 3.6+ based on standard python type hints. it is designed to be fast, easy to use, and robust, making it a popular choice for building web applications and microservices.

this tutorial will guide you through the basics of creating a restful api using fastapi, including setting up your environment, defining endpoints, handling data validation, and integrating with a database.

## prerequisites

before we begin, ensure you have the following installed:

2. **pip**: comes with python installations.
3. **a code editor**: such as visual studio code, pycharm, or any text editor of your choice.

## setting up your environment

1. **create a new directory for your project**:



2. **create a virtual environment**:



3. **activate the virtual environment**:

- on windows:



- on macos/linux:



4. **install fastapi and an asgi server**:



## creating a simple fastapi application



2. **run the application**:



3. **access the automatically generated api documentation**:

## adding data validation with pydantic

fastapi uses pydantic for data validation. let’s create a model for an item.



2. **test the post endpoint**:

in the swagger ui, you can now test the post `/items/` endpoint by providing json data:



you should receive the same json data back as a response.

## connecting to a database

for our api, we can use sqlalchemy with sqlite as our database. you’ll need to ins ...

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