asynchronous web apps in python

creating asynchronous web applications in python has gained popularity due to the efficiency and scalability they offer. this tutorial will guide you through the basics of building asynchronous web applications using the `fastapi` framework, which is built on top of starlette and pydantic, making it a great choice for developing modern web apis.

prerequisites

before we start, make sure you have the following installed:

- python 3.7 or later
- pip (python package installer)

you can check your python version using:

setting up your environment

1. **create a virtual environment** (optional but recommended):



2. **install fastapi and an asgi server (like uvicorn)**:



building a simple asynchronous web app

let's create a simple asynchronous web application that handles http requests. we will build a basic api that can respond to get and post requests.



explanation of the code

- **imports:**
- `fastapi`: the main framework for building the web application.
- `basemodel`: a class from pydantic to validate and serialize data.
- `time`: although not used in the final example, you could use it for synchronous sleep or delays.

- **creating an app instance:**
- `app = fastapi()` creates a fastapi application instance.

- **data model:**
- the `item` class represents the data structure for the items we will create and retrieve.

- **asynchronous endpoints:**

running the application

to run the application, use the following command:

- `app`: refers to the fastapi instance we created.
- `--reload`: enables auto-reloading of the server when code changes.

testing the endpoints

once the server is r ...

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Asynchronous
web apps
Python
asynchronous programming
FastAPI
Flask
concurrency
web frameworks
real-time applications
event-driven
asyncio
performance
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web sockets
RESTful APIs