FastAPI is a modern and fast web framework for building APIs with Python 3.6+ based on standard Python type hints. It is designed to be easy to use, efficient, and highly performant, making it a great choice for developers who need to build APIs quickly and efficiently.
In this tutorial, we will explore how to use FastAPI for web app development, including setting up a project, creating endpoints, handling requests, and deploying the app.
Setting up a Project
To get started with FastAPI, you will need to install it using pip:
pip install fastapi
You will also need to install an ASGI server, such as Uvicorn, to run your FastAPI app:
pip install uvicorn
Creating a new FastAPI project is as simple as creating a new Python file and importing the FastAPI class:
from fastapi import FastAPI
app = FastAPI()
Creating Endpoints
Endpoints in FastAPI are defined using Python functions and decorators. Each endpoint corresponds to a specific URL path and HTTP method.
To create an endpoint, you can use the @app.get()
decorator for GET requests, @app.post()
for POST requests, @app.put()
for PUT requests, and so on. Here is an example of a simple endpoint that returns a "Hello, World!" message:
@app.get("/")
def read_root():
return {"message": "Hello, World!"}
Handling Requests
FastAPI allows you to define request handlers using Python type hints. This makes it easy to define the structure of incoming requests and validate them automatically.
For example, you can define a request body using Pydantic models and automatically validate incoming JSON data:
from pydantic import BaseModel
class Item(BaseModel):
name: str
price: float
@app.post("/items/")
def create_item(item: Item):
return item
Deploying the App
To deploy your FastAPI app, you can use an ASGI server such as Uvicorn. Simply run the following command in your terminal:
uvicorn main:app --reload
This command will start the Uvicorn server and load your FastAPI app. You can then access your API by visiting http://localhost:8000 in your web browser.
Conclusion
In this tutorial, we have covered the basics of using FastAPI for web app development. FastAPI is a powerful and efficient framework that makes it easy to build APIs with Python. By following this tutorial, you can quickly get started with FastAPI and start building your own web applications.
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when we write conda list 1st time that shows list all which i have and after that we write again conda list that's can't show the 2nd list again display the 1st list why?
Sallam AAmar! I hope you're doing well. I'm facing this error "
ERROR: Error loading ASGI app. Could not import module "main"."
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Jazak Allah for sharing
Assalamualaikum
Sir plz tafseeli jawaab dijiyega.
Mein India (Mumbai) se hu.
Meri age 20 hai.
Maine HSC pass krke filhaal padhai chod di hai, aur Madarse mein Admission liya hai.
Mein Aalmiyat k Arbi 2 year mein hu.
Aur meri padhai subha 9:00am – 1:00pm tk hoti hai. Aur Mera madarsa mere ghr k qareeb hi hai.
Aur mein Subha 6:00am – 8:30 am free hota hu.
Abhi mujhe 4 yrs aur baaki hai Aalmiyat complete karne k liye. Aur mujhe inn dono mein se(Front End Developer / Data Scientist) kisi field mein qadam rakhna hai.
Mera main maqsad sirf paisa kamana hai.
Baaki time jo bachega woh mujhe Aalmiyat ki Dars O Tadrees mein de dena hai Inshallah.
Problem ye hai ki maine dono profession k baare mein search kiya toh data science mein hr koi keh raha hai ki ye bohot Turf aur Stressful hai(Front End Developer k comparison mein)
Plzz aap zaroor bataye ki mein kya karu?
Web mein jaao ya Data mein?
Ho sake toh Sir aap se personally raabte k liye koi number ya kuch aur Tareeqa bata dijiye, bohot sakht zaroorat hai mujhe iss decision ki.
Thanks Bro